tag:blogger.com,1999:blog-56798251138112613352024-03-04T21:02:32.482-08:00Michele's GNSS blogMichelehttp://www.blogger.com/profile/03657889163945060210noreply@blogger.comBlogger39125tag:blogger.com,1999:blog-5679825113811261335.post-49677295656801897992018-09-23T17:39:00.004-07:002018-09-23T17:42:24.269-07:00Learning a bit about Beidou3 signalsI have pretty busy these last couple of years contributing to features and improvements to the Piksi Multi measurement engine, but during the Summer I managed to contribute to a blog post on the Swift Navigation page together with two colleagues of mine who I thank sincerely: Michael Wurm (lead FPGA engineer) and Keerthan Jaic (python and many other languages expert).<br />
We studied a bit the signals of Beidou3, which is growing at incredible pace. <a href="https://blog.swiftnav.com/learning-beidou3-signals-purely-for-fun/" target="_blank">For the interested readers, here is the </a><a href="https://www.blogger.com/null" target="_blank">link.</a><br />
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A screenshot of the Swift Console says more than 1000 words:<br />
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<a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgxMlDKG4J50WGxq3D4oDnZgMHD_tsDoDYoqetJzNNC9H30B1g4atYYYORtpEr0f8nJ5TjvAs5bIY5LfdRmTKo3-5WYv9K9o5M8pFQuzJFQxAhwVYKujD1ax5Pam2S2TMNl0PQkBUfDZqg/s1600/b2a-2.png" imageanchor="1"><img border="0" height="566" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgxMlDKG4J50WGxq3D4oDnZgMHD_tsDoDYoqetJzNNC9H30B1g4atYYYORtpEr0f8nJ5TjvAs5bIY5LfdRmTKo3-5WYv9K9o5M8pFQuzJFQxAhwVYKujD1ax5Pam2S2TMNl0PQkBUfDZqg/s640/b2a-2.png" width="640" /></a><br />
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There should be data and code you all can play with.And questions welcome, hope you enjoy the read.<br />
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P.S.: I won't be at the ION this year (too busy with other things) but I will likely be at the Stanford PNT meeting in November.Michelehttp://www.blogger.com/profile/03657889163945060210noreply@blogger.com2tag:blogger.com,1999:blog-5679825113811261335.post-11913787981063137882017-12-31T08:13:00.002-08:002018-01-02T07:59:38.948-08:00One year in review<table align="center" cellpadding="0" cellspacing="0" class="tr-caption-container" style="margin-left: auto; margin-right: auto; text-align: center;"><tbody>
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As 2017 heads to the end, it calls for a retrospective. Which events characterized this year most? <br />
Both most prominent magazines in the domain (<a href="http://gpsworld.com/">gpsworld.com</a> and <a href="http://insidegnss.com/">insidegnss.com</a>) dedicate a piece of their December issue to this very topic, and one can find there their point of view which I hope to complement here. Let's begin from GNSS itself, in no order what-so-ever.<br />
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<b>GPS</b>. <br />
Probably one of the most difficult years for the Navstar constellation, with no satellite launched and OCX still not yet. Yes the US maintains the gold standard of satellite radio-navigation but it's hard to predict if and how long that will hold true. In the congress itself there is strong controversy on how <a href="http://www.insidegnss.com/node/4553" target="_blank">adequate </a>GPS is for 21th century warfare. As vulnerabilities of SIS against jamming and spoofing became evident to everyone, and as Navstar satellites continue to exceed their life expectancy, most of the R&D in the US was dedicated to <a href="http://gpsworld.com/assured-pnt-for-our-future-pta/" target="_blank">PTA </a>(Protect, Toughen and Augment), with little room for modernization. Yet, despite reading about the first GPSIII satellites readiness and even a new <a href="http://gpsworld.com/directions-2018-resiliency-key-to-new-gps/" target="_blank">GPSIIIF </a>generation in the works, it all sounded to me quite like a collection of forward-looking statements and promotional material. <br />
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<b>Galileo</b>.<br />
Europe managed to declare <a href="https://www.gsa.europa.eu/galileo/services/initial-services" target="_blank">initial services</a> and <a href="http://www.esa.int/Our_Activities/Navigation/Galileo/Galileo_Launches" target="_blank">launch </a>4 satellites this year. On the web it is not difficult to gather proof that Worldwide acceptance of the EU system is growing... many GNSS Companies have now claimed compatibility of their services with Galileo, and even penetration in smartphone chipsets became a reality this year (I was already involved with BQ and its Qualcomm IZAT 8C last year). We will not see another quadruple launch for a few more months now, but in the meantime there will be ~20 quadruple-open-frequency birds to work with in 2018. As resilience is developed on the GPS side, modernization and new signal multi-carrier processing techniques are worked on in the old continent.<br />
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<b>Beidou</b>.<br />
The Chinese government promised 6 BDS3 satellites this year, later de-scoped to 4 and finally managed to <span id="goog_1467533102"></span>launch<span id="goog_1467533103"></span> 2 last November. Not discouraging though, as the 4 gone missing this year are queued up for flying in early 2018 ...together with another 12. <a href="https://forum.nasaspaceflight.com/index.php?PHPSESSID=vuul5vc7dc74d6s78r8n9ns157&topic=5060.1580" target="_blank">Yes, 16 in total</a>. If even half of that promise is kept, it would put Beidou on the top of the list of GNSS to watch out for. It feels like Beidou is at a cross-roads as new generation birds don't appear to broadcast B2 (the 2 MHz signal on E5b), but just B1. So multi-frequency users will have two heterogeneous groups to deal with: BDS2 with B1+B2 (BPSK2 on 1526f0 and 1180f0) and BDS3 with the legacy B1 plus <a href="http://www.beidou.gov.cn/xt/gfxz/201712/P020171226741342013031.pdf" target="_blank">B1C </a>(TMBOC at 1540f0) and <a href="http://www.beidou.gov.cn/xt/gfxz/201712/P020171226742357364174.pdf" target="_blank">B2a </a>(BPSK10 at 1150f0). Understandably there isn't much clarity towards foreign users on which signal/services combinations China will continue to support or slowly discontinue.<br />
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<b>Glonass</b>.<br />
I cannot help but not being very excited about Glonass. Russia launched one satellite in September this year. The system has greatly improved, but FDMA signals at frequencies far away from the GPS ones enough to need a separate RF down-conversion chain do not sound fun to me. However, many more launches (18 according to <a href="http://www.sworld.com.au/steven/space/russia-man.txt" target="_blank">this source</a>?) are scheduled for 2018, with as many as 5 K2 generation (full CDMA) birds. That yes would change my mind. Right now, with codes already just half as accurate as GPS L1C/A, L1OF/L2OF to me looks only useful for high-sensitivity urban navigation. Not to be mistaken, it's all very good but just a great headache of biases for precision navigation. Glonass modernization is about switching to CDMA signals and new frequencies (L1+E5b on K2, E5a on KM), but it could be a long time before there will be enough satellites to make that constellation a concrete option.<br />
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<b>QZSS</b>.<br />
Japan quietly launched 3 satellites this year. QZSS is often overlooked as a purely regional system, versus its global counterparts. But each satellite carries an advanced navigation payload, capable of many frequencies and signals, not to mention services on top of them. So Japan has now a regional constellation of GPSIII-like satellites which are almost always in view. That comes with great benefit for users in the Asia-pacific region as each QZSS satellite is worth approximately 4+ GPSIIF MEO birds. So effectively multi-frequency users have the equivalent of a FOC of GPSIIF - which is pretty cool. I encourage everyone to follow <a href="http://gpspp.sakura.ne.jp/index.shtml" target="_blank">Tomoji</a>'s and <a href="http://blog.goo.ne.jp/osqzss" target="_blank">Takuji</a>'s blogs for more hacker friendly info on QZSS.<br />
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<b>Others</b>.<br />
I followed on the side India's Navic and Australia's efforts towards a SBAS, but I am not much up to date with those or other systems, so feel free to share with me updates and links in the comments section and I will try to integrate them.<br />
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<b>System of systems 2017 wrap-up</b>.<br />
Many ask questions about GNSS adoption and especially the future roles of Galileo, Beidou and Glonass. There are always unknowns of course, but to me the answer is clear: <a href="http://www.beidou.gov.cn/xt/gfxz/" target="_blank">Beidou3</a> is (involuntarily?) Galileo's best mate and Glonass will eventually align. The new <a href="http://www.beidou.gov.cn/xt/gfxz/201712/P020171218337008148266.pdf" target="_blank">Beidou English ICD </a>is out and all bets are off: BDS3 promotes a dual frequency L1C+L5 open service. Navstar's L2C seems already old, and yet the user segment adoption of it is largely immature. Most services and receivers still rely on L2P(Y) as 19 satellites aren't enough to justify switching across to the civil signal, despite its many benefits over semi-codeless tracking of the encrypted military one. The GPSIIF L5 signal is affected by line biases which make PPP difficult, but Galileo is free of them if my results are correct. Incidentally I have not yet tried with BDS3 satellites... it's slightly more tricky without a third open frequency. When the legacy P(Y) signals are turned off we might witness a shift between GPS L1C/A + L2P to GPS/Galileo/Beidou L1 + L5 before L2C has a chance of picking up universally. Each system will offer a third open frequency: GPS L2C, Galileo/BDS3 E6/E5b and Glonass L3.</div>
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<b>Industry news.</b><br />
Trying to be as unbiased as possible, the GNSS industry also had some interesting developments this year. Pure GNSS looks slowly disappearing as the low-end of the GNSS offering is nowadays largely owned by the smartphone industry. Multi-aggregated-band LTE and WiFI are more complex than GNSS from a DSP perspective so understandably the latter is considered a commodity. As general purpose modems have multiple wireless capabilities, they can easily do single frequency all-constellation tracking. Navigation is provided through a fusion of technologies and sensors, where GNSS plays the poorest availability highest accuracy one. While Mediatek has been quiet for a while now, maybe reaping the results of its flagship <a href="https://labs.mediatek.com/en/chipset/MT3333" target="_blank">MTK3333</a>, others have moved forward. HED Navigation is continuing to sell through <a href="https://www.locosystech.com/en/product/gnss-module-hd-1010-ga.html" target="_blank">locosys.com</a> its high-sensitivity all-constellation single frequency engine. u-blox released this year its 8-th generation silicon for the <a href="https://www.u-blox.com/en/product/zoe-m8b-sip" target="_blank">IoT/wearables market</a> as well as a single-frequency RTK-capable chipset (the <a href="https://www.u-blox.com/en/product/neo-m8p-series" target="_blank">M8P</a> line). Geostar-navigation also came out with a single frequency <a href="http://geostar-navi.com/en/rtk-modules/geos5rtk/" target="_blank">RTK capable engine</a> associated to its last GeoS-5MR baseband. NVS released its sub-1K$ multi-constellation <a href="http://www.nvs-gnss.com/products/receivers/item/46-nv08c-rtk-m.html" target="_blank">dual-frequency receiver</a> and we, at Swift Navigation, continue to release <a href="https://support.swiftnav.com/customer/en/portal/articles/2492784-piksi-multi-and-duro-firmware" target="_blank">FW updates</a> enabling new features of the Piksi Multi. Last but not least, Broadcom stepped on the high-precision field releasing a multi-frequency multi-constellation chip the <a href="https://www.broadcom.com/products/wireless/gnss-gps-socs/bcm47755" target="_blank">BCM4775x</a>. I am glad to see I had anticipated this some time ago, and my vision has materialized.<br />
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<b>A little give-back</b><br />
As prof. Borre disappeared this year and I had offered him my <a href="http://www.onetalent-gnss.com/ideas/software-defined-radio/sdrnav40" target="_blank">SdrNav40 </a>sources as academic material for his new book, I think it's appropriate to open-source that design as promised.<br />
Here is an archive with the 4-channels front-end HW design:<br />
<a href="https://drive.google.com/open?id=1QCFZQDv7fTunZxiyiULaOhVfQj2DNdbp">https://drive.google.com/open?id=1QCFZQDv7fTunZxiyiULaOhVfQj2DNdbp</a><br />
Here the SW for Linux and Windows:<br />
<a href="https://drive.google.com/open?id=1PjwSCmO3ZRsHWPlxo8tptu41s7bza_1Q">https://drive.google.com/open?id=1PjwSCmO3ZRsHWPlxo8tptu41s7bza_1Q</a><br />
<a href="https://drive.google.com/open?id=1Vqp5zocYVbbohhXGh-bgXhh1cB4N4ncn">https://drive.google.com/open?id=1Vqp5zocYVbbohhXGh-bgXhh1cB4N4ncn</a><br />
It's an old design, not nearly as polished as <a href="http://pmonta.com/blog/" target="_blank">Peter Monta</a>'s firehose.. but it's done an egregious job for me in lots of personal research projects. Feel free to ask questions if needed.<br />
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<pre class="tw-data-text tw-ta tw-text-medium" data-fulltext="" data-placeholder="Traduction" dir="ltr" id="tw-target-text" style="height: 36px; text-align: left;"><span lang="ja">つづく</span></pre>
Michelehttp://www.blogger.com/profile/03657889163945060210noreply@blogger.com0tag:blogger.com,1999:blog-5679825113811261335.post-69493583395958218932017-10-01T12:52:00.000-07:002017-11-26T23:14:45.377-08:00Tribute to Prof. Kai Borre<br />
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<a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhEfJChtTqg6gR2Th51Rs0YRDZRw7o07h_nkPZfoR5F5BnJ_8sjLRlAUf5SMhflXIOH1aDkblVGKMpq8fG70sqBpdscwDxjD7XVs8gfXIPOdo63GWsMxLVXGFH5f2jgJW-c2Siw8TaAOOM/s1600/7812889-photo-2-small.gif" imageanchor="1" style="clear: left; float: left; margin-bottom: 1em; margin-right: 1em;"><img border="0" data-original-height="550" data-original-width="436" height="200" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhEfJChtTqg6gR2Th51Rs0YRDZRw7o07h_nkPZfoR5F5BnJ_8sjLRlAUf5SMhflXIOH1aDkblVGKMpq8fG70sqBpdscwDxjD7XVs8gfXIPOdo63GWsMxLVXGFH5f2jgJW-c2Siw8TaAOOM/s200/7812889-photo-2-small.gif" width="158" /></a></div>
Whilst attending the latest ION GNSS+ conference I had the confirmation that Prof. Kai Borre disappeared this Summer. He has been a very important reference to me, especially in the early stages of my career. I am sure many other radio-navigation, geodesy and DSP engineers will convene with me. I knew him pretty well and I could not find anywhere an epitaph, so I today feel compelled to my leave my tribute to him here and hope others will intimately share my feeling.<br />
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Rest in peace Kai. My gratitude, for inspiring me until your very last moment.Michelehttp://www.blogger.com/profile/03657889163945060210noreply@blogger.com3tag:blogger.com,1999:blog-5679825113811261335.post-29963510973582221822016-01-26T14:42:00.000-08:002016-01-26T14:42:49.364-08:00uBlox: Galileo, anti-jamming and anti-spoofing firmwareJust downloaded the <a href="https://www.u-blox.com/sites/default/files/UBX_M8_301_SPG.911f2b77b649eb90f4be14ce56717b49.bin" target="_blank">firmware upgrade</a> for flash-based M8 modules from uBlox.<br />
Flashed it in no time.<br />
The result of UBX-MON-VER is now:<br />
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<img alt="" height="341" 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" width="640" /><br />
<br />
So checked Galileo in CFG-GNSS:<br />
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<img alt="" height="341" 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" width="640" /> <br />
<br />
Result :)<br />
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<img alt="" height="341" 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width="640" /><br />
<br />
Incidentally, there is a "spoofing" flag now as well :O<br />
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<img alt="" height="341" 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" 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Don't dare trying this on M8T... Michelehttp://www.blogger.com/profile/03657889163945060210noreply@blogger.com1tag:blogger.com,1999:blog-5679825113811261335.post-42912842355392741102016-01-13T13:49:00.002-08:002016-01-13T13:49:51.038-08:00NT1065 review<div dir="ltr" style="line-height: 1.3800000000000001; margin-bottom: 6pt; margin-top: 0pt; text-align: justify;">
<span style="background-color: transparent; color: black; font-family: Calibri; font-size: 14.666666666666666px; font-style: normal; font-variant: normal; font-weight: 400; text-decoration: none; vertical-align: baseline;">So I finally came about testing the NT1065… apologies for the lack of detail but I have done this in my very little spare time. Also, I would like to clarify that I am in no way affiliated to NTLab.</span></div>
<h1 dir="ltr" style="line-height: 1.3800000000000001; margin-bottom: 0pt; margin-top: 24pt; text-align: justify;">
<span style="background-color: transparent; color: #244061; font-family: Cambria; font-size: 18.666666666666664px; font-style: normal; font-variant: normal; font-weight: 700; text-decoration: none; vertical-align: baseline;">Chip overview</span></h1>
<div dir="ltr" style="line-height: 1.3800000000000001; margin-bottom: 6pt; margin-top: 0pt; text-align: justify;">
<span style="background-color: transparent; color: black; font-family: Calibri; font-size: 14.666666666666666px; font-style: normal; font-variant: normal; font-weight: 400; text-decoration: none; vertical-align: baseline;">A picture speaks more than a thousand words.</span></div>
<div dir="ltr" style="line-height: 1.2; margin-bottom: 6pt; margin-top: 6pt; text-align: center;">
<span style="background-color: transparent; color: black; font-family: Calibri; font-size: 14.666666666666666px; font-style: normal; font-variant: normal; font-weight: 400; text-decoration: none; vertical-align: baseline;"><img height="640" src="https://lh4.googleusercontent.com/cXGeRy3tOnWOqpm1jEwa9bIqHNxg7cwj-TBRM6yWTwwB4x3hMunBF_F0LbEEdVUKCIacFwSZbJUf_nkOJWZr40atNpWLRlk8KS8VFFyF32_TP2Aw3XV7a6koCIHxsHvnsU407_jhz4hH6iVs" style="border: medium none; transform: rotate(0rad);" width="473" /></span></div>
<div dir="ltr" style="line-height: 1.3800000000000001; margin-bottom: 6pt; margin-top: 0pt; text-align: center;">
<span style="background-color: transparent; color: black; font-family: Calibri; font-size: 13.333333333333332px; font-style: normal; font-variant: normal; font-weight: 700; text-decoration: none; vertical-align: baseline;">Figure 1: NT1065 architecture</span></div>
<div dir="ltr" style="line-height: 1.3800000000000001; margin-bottom: 6pt; margin-top: 0pt; text-align: justify;">
<span style="background-color: transparent; color: black; font-family: Calibri; font-size: 14.666666666666666px; font-style: normal; font-variant: normal; font-weight: 400; text-decoration: none; vertical-align: baseline;">Things worth noting above are:</span></div>
<ul style="margin-bottom: 0pt; margin-top: 0pt;">
<li dir="ltr" style="background-color: transparent; color: black; font-family: Arial; font-size: 14.666666666666666px; font-style: normal; font-variant: normal; font-weight: 400; list-style-type: disc; text-decoration: none; vertical-align: baseline;"><div dir="ltr" style="line-height: 1.3800000000000001; margin-bottom: 6pt; margin-top: 0pt; text-align: justify;">
<span style="background-color: transparent; color: black; font-family: Calibri; font-size: 14.666666666666666px; font-style: normal; font-variant: normal; font-weight: 400; text-decoration: none; vertical-align: baseline;">Four independent input channels with variable RF gain, so up to 4 distinct antennas can be connected;</span></div>
</li>
<li dir="ltr" style="background-color: transparent; color: black; font-family: Arial; font-size: 14.666666666666666px; font-style: normal; font-variant: normal; font-weight: 400; list-style-type: disc; text-decoration: none; vertical-align: baseline;"><div dir="ltr" style="line-height: 1.3800000000000001; margin-bottom: 6pt; margin-top: 0pt; text-align: justify;">
<span style="background-color: transparent; color: black; font-family: Calibri; font-size: 14.666666666666666px; font-style: normal; font-variant: normal; font-weight: 400; text-decoration: none; vertical-align: baseline;">Two LOs controlled by integer synthesizers, one per pair of channels, tuned respectively for the high and low RNSS band, but one can choose to route the upper LO to the lower pair and have 4 phase coherent channels</span></div>
</li>
<li dir="ltr" style="background-color: transparent; color: black; font-family: Arial; font-size: 14.666666666666666px; font-style: normal; font-variant: normal; font-weight: 400; list-style-type: disc; text-decoration: none; vertical-align: baseline;"><div dir="ltr" style="line-height: 1.3800000000000001; margin-bottom: 6pt; margin-top: 0pt; text-align: justify;">
<span style="background-color: transparent; color: black; font-family: Calibri; font-size: 14.666666666666666px; font-style: normal; font-variant: normal; font-weight: 400; text-decoration: none; vertical-align: baseline;">ADC sample rate derived from either LO through integer division</span></div>
</li>
<li dir="ltr" style="background-color: transparent; color: black; font-family: Arial; font-size: 14.666666666666666px; font-style: normal; font-variant: normal; font-weight: 400; list-style-type: disc; text-decoration: none; vertical-align: baseline;"><div dir="ltr" style="line-height: 1.3800000000000001; margin-bottom: 6pt; margin-top: 0pt; text-align: justify;">
<span style="background-color: transparent; color: black; font-family: Calibri; font-size: 14.666666666666666px; font-style: normal; font-variant: normal; font-weight: 400; text-decoration: none; vertical-align: baseline;">4 independent image-reject mixers, IF filters and variable gain (with AGC) paths</span></div>
</li>
<li dir="ltr" style="background-color: transparent; color: black; font-family: Arial; font-size: 14.666666666666666px; font-style: normal; font-variant: normal; font-weight: 400; list-style-type: disc; text-decoration: none; vertical-align: baseline;"><div dir="ltr" style="line-height: 1.3800000000000001; margin-bottom: 6pt; margin-top: 0pt; text-align: justify;">
<span style="background-color: transparent; color: black; font-family: Calibri; font-size: 14.666666666666666px; font-style: normal; font-variant: normal; font-weight: 400; text-decoration: none; vertical-align: baseline;">Four independent outputs, either as a CMOS two bit ADC or analogue differential so one could </span></div>
</li>
<ul style="margin-bottom: 0pt; margin-top: 0pt;">
<li dir="ltr" style="background-color: transparent; color: black; font-family: Arial; font-size: 14.666666666666666px; font-style: normal; font-variant: normal; font-weight: 400; list-style-type: disc; text-decoration: none; vertical-align: baseline;"><div dir="ltr" style="line-height: 1.3800000000000001; margin-bottom: 6pt; margin-top: 0pt; text-align: justify;">
<span style="background-color: transparent; color: black; font-family: Calibri; font-size: 14.666666666666666px; font-style: normal; font-variant: normal; font-weight: 400; text-decoration: none; vertical-align: baseline;">connect his/her own ADC or</span></div>
</li>
<li dir="ltr" style="background-color: transparent; color: black; font-family: Arial; font-size: 14.666666666666666px; font-style: normal; font-variant: normal; font-weight: 400; list-style-type: disc; text-decoration: none; vertical-align: baseline;"><div dir="ltr" style="line-height: 1.3800000000000001; margin-bottom: 6pt; margin-top: 0pt; text-align: justify;">
<span style="background-color: transparent; color: black; font-family: Calibri; font-size: 14.666666666666666px; font-style: normal; font-variant: normal; font-weight: 400; text-decoration: none; vertical-align: baseline;">phase-combine the IF outputs in a CRPA fashion prior to digitisation</span></div>
</li>
</ul>
<li dir="ltr" style="background-color: transparent; color: black; font-family: Arial; font-size: 14.666666666666666px; font-style: normal; font-variant: normal; font-weight: 400; list-style-type: disc; text-decoration: none; vertical-align: baseline;"><div dir="ltr" style="line-height: 1.3800000000000001; margin-bottom: 6pt; margin-top: 0pt; text-align: justify;">
<span style="background-color: transparent; color: black; font-family: Calibri; font-size: 14.666666666666666px; font-style: normal; font-variant: normal; font-weight: 400; text-decoration: none; vertical-align: baseline;">standard SPI port control</span></div>
</li>
</ul>
<div dir="ltr" style="line-height: 1.3800000000000001; margin-bottom: 6pt; margin-top: 0pt; text-align: justify;">
<span style="background-color: transparent; color: black; font-family: Calibri; font-size: 14.666666666666666px; font-style: normal; font-variant: normal; font-weight: 400; text-decoration: none; vertical-align: baseline;">Another important point for a hardware designer (I used to be a little bit of that) is this:</span></div>
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" width="640" /> </span></div>
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</div>
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<span style="background-color: transparent; color: black; font-family: Calibri; font-size: 13.333333333333332px; font-style: normal; font-variant: normal; font-weight: 700; text-decoration: none; vertical-align: baseline;">Figure 2: NT1065 application schematic</span></div>
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<span style="background-color: transparent; color: black; font-family: Calibri; font-size: 14.666666666666666px; font-style: normal; font-variant: normal; font-weight: 400; text-decoration: none; vertical-align: baseline;">The pin allocation shows a 1 cm</span><span style="background-color: transparent; color: black; font-family: Calibri; font-size: 8.799999999999999px; font-style: normal; font-variant: normal; font-weight: 400; text-decoration: none; vertical-align: super;">2</span><span style="background-color: transparent; color: black; font-family: Calibri; font-size: 14.666666666666666px; font-style: normal; font-variant: normal; font-weight: 400; text-decoration: none; vertical-align: baseline;"> QFN88 (with 0.4mm pin step) with plenty of room between the pins and an optimal design for easy routing of the RF and IF channels. Packages like that aren’t easy to find nowadays for such complex RF ICs (everything is a BGA or WLCSP) but I love QFNs because they are easy to solder with a bit of SMD practice and can be “debugged” if the PCB layout is not perfect first time.</span></div>
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<span style="background-color: transparent; color: #244061; font-family: Cambria; font-size: 18.666666666666664px; font-style: normal; font-variant: normal; font-weight: 700; text-decoration: none; vertical-align: baseline;">Evaluation kit overview</span></h1>
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<span style="background-color: transparent; color: black; font-family: Calibri; font-size: 14.666666666666666px; font-style: normal; font-variant: normal; font-weight: 400; text-decoration: none; vertical-align: baseline;">The evaluation kit presents itself like this:</span></div>
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<span style="background-color: transparent; color: black; font-family: Calibri; font-size: 14.6667px; font-style: normal; font-variant: normal; font-weight: 400; margin-left: 1em; margin-right: 1em; text-decoration: none; vertical-align: baseline;"><img height="497" src="https://lh4.googleusercontent.com/r-O5ZEZjXp4sPWKZU9pjaEfhu5qv3I77DtFjH_sPpcgOuM9S_O20nDOY7iGi5ydealcZc9mAhyAMY9wS_kPIl678Bk0rOiYvxKkMRD_Y-obd5wxbIiC2Pn-mauFo2xjidA7-Om1pVOmhEMTr" style="border: medium none; transform: rotate(0rad);" width="640" /></span></div>
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<span style="background-color: transparent; color: black; font-family: Calibri; font-size: 13.333333333333332px; font-style: normal; font-variant: normal; font-weight: 700; text-decoration: none; vertical-align: baseline;">Figure 3: NT1065 evaluation kit</span></div>
<div dir="ltr" style="line-height: 1.3800000000000001; margin-bottom: 6pt; margin-top: 0pt; text-align: justify;">
<span style="background-color: transparent; color: black; font-family: Calibri; font-size: 14.666666666666666px; font-style: normal; font-variant: normal; font-weight: 400; text-decoration: none; vertical-align: baseline;">One can see the RF inputs at the top, the external reference clock input on the left, the control interface on the right and the IF/digital part on the bottom. The large baluns (for differential to single ended conversion) were left unpopulated for me as I don’t use redpitaya (yet?). The control board is the same used for the NT1036.</span></div>
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<span style="background-color: transparent; color: black; font-family: Calibri; font-size: 14.666666666666666px; font-style: normal; font-variant: normal; font-weight: 400; text-decoration: none; vertical-align: baseline;">In configured the evaluation kit to be powered by the control board (it was an error, see later) and connected the ADC outputs and clock to the Spartan6 on the SdrNav40, used here simply as USBHS DAQ. In total, there is one clock like and 8 data lines (4 pairs of SIGN/MAGN, one per channel).</span></div>
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<span style="background-color: transparent; color: black; font-family: Calibri; font-size: 14.666666666666666px; font-style: normal; font-variant: normal; font-weight: 400; text-decoration: none; vertical-align: baseline;">The IF filters act on the Lower Side Band (LSB) or the Upper Side Band (USB) for respectively high and low injection mixing and can be configured for a cutoff frequency between 10 and 35 MHz. Thus, bandwidths of up to 30 MHz per signal can be accommodated and the minimum ADC sampling rate should be around 20 Msps. 20 MByte/sec are not easy to handle for a USBHS controller, so I will look into other more suitable (but still cost effective) DAQ options to evaluate the front-end. In the meantime, I could do a lot with 32MByte/sec of the FX2LP by testing either 2 channels only with 2 bit or all the 4 channels with 1 bit and compressing nibbles into bytes (halving the requested rate).</span></div>
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<span style="background-color: transparent; color: black; font-family: Calibri; font-size: 14.666666666666666px; font-style: normal; font-variant: normal; font-weight: 400; text-decoration: none; vertical-align: baseline;">The evaluation software is a single window, very simple and intuitive to use but very effective.</span></div>
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<span style="background-color: transparent; color: black; font-family: Calibri; font-size: 14.666666666666666px; font-style: normal; font-variant: normal; font-weight: 400; text-decoration: none; vertical-align: baseline;"><img height="327" src="https://lh5.googleusercontent.com/wQqxatUuI5iugUvsxiUE1D6464HxYFpSP8CTAjJrD9RwCVdHyfNgA7Y6jSAd0sPjZ1_DxxjWPd_2WAnieEv9Sryn8vS5BjgGWCUIU4WEaPcbw3JiQouJf0CcJlAla74rV134KYR2XDTY_oHp" style="border: medium none; transform: rotate(0rad);" width="630" /></span></div>
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<span style="background-color: transparent; color: black; font-family: Calibri; font-size: 13.333333333333332px; font-style: normal; font-variant: normal; font-weight: 700; text-decoration: none; vertical-align: baseline;">Figure 4: Evaluation software</span></div>
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<span style="background-color: transparent; color: black; font-family: Calibri; font-size: 14.666666666666666px; font-style: normal; font-variant: normal; font-weight: 400; text-decoration: none; vertical-align: baseline;">The software comes with several sample configuration files that can be very useful to quickly start evaluating the chip.</span></div>
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<span style="background-color: transparent; color: #244061; font-family: Cambria; font-size: 18.666666666666664px; font-style: normal; font-variant: normal; font-weight: 700; text-decoration: none; vertical-align: baseline;">Tests</span></h1>
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<span style="background-color: transparent; color: black; font-family: Calibri; font-size: 14.666666666666666px; font-style: normal; font-variant: normal; font-weight: 400; text-decoration: none; vertical-align: baseline;">All my tests used a good 10MHz CMOS reference.</span></div>
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<span style="background-color: transparent; color: #244061; font-family: Cambria; font-size: 17.333333333333332px; font-style: normal; font-variant: normal; font-weight: 700; text-decoration: none; vertical-align: baseline;">GPS L1</span></h2>
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<span style="background-color: transparent; color: black; font-family: Calibri; font-size: 14.666666666666666px; font-style: normal; font-variant: normal; font-weight: 400; text-decoration: none; vertical-align: baseline;">The first test was GPS L1 in high injection mode setting the first LO to 1590 MHz (R1=1, N1=159), leading to an IF of -14.58 MHz, a filter bandwidth of about 28 MHz and a sampling frequency of 53 Msps (K1/2=15). I streamed one minute to the disk and verified correct operation.</span></div>
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<span style="background-color: transparent; color: black; font-family: Calibri; font-size: 13.333333333333332px; font-style: normal; font-variant: normal; font-weight: 700; text-decoration: none; vertical-align: baseline;">Figure 5:GPS L1 PSD (left) and histogram+time series (right)</span></div>
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<span style="background-color: transparent; color: black; font-family: Calibri; font-size: 13.333333333333332px; font-style: normal; font-variant: normal; font-weight: 700; text-decoration: none; vertical-align: baseline;">Figure 6: G30 correlation of L1 code detail (left) and all satellites (right).</span></div>
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<span style="background-color: transparent; color: #244061; font-family: Cambria; font-size: 17.333333333333332px; font-style: normal; font-variant: normal; font-weight: 700; text-decoration: none; vertical-align: baseline;">GPS L1/L5</span></h2>
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<span style="background-color: transparent; color: black; font-family: Calibri; font-size: 14.666666666666666px; font-style: normal; font-variant: normal; font-weight: 400; text-decoration: none; vertical-align: baseline;">When performing this test I bumped into a hardware problem. If the control board powers the NT1065 evaluation kit with its internal 3.3V reference, the power line is gated by a small resistor thus the voltage depends on the current drawn by the chip (undesirable!). Enabling the second channel in the GUI made the chip draw more current so the voltage on the evaluation kit decreased away from the SdrNav40 one which was steady at 3.3V. Level mismatch created unreliability in reading the digital levels and failure to transfer meaningful data. So I powered the evaluation kit with the SdrNav40 3.3V voltage reference and everything was happy again.</span></div>
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<span style="background-color: transparent; color: black; font-family: Calibri; font-size: 14.666666666666666px; font-style: normal; font-variant: normal; font-weight: 400; text-decoration: none; vertical-align: baseline;">In this configuration L1 is again at -14.58 MHz (1590 MHz high side injection) and L5 is on the third channel (low RNSS) at -13.55 MHz (R2=1, N2=119 for 1190 MHz high side injection). To be noted the relative large spike in the spectrum at 1166 MHz, not an obvious harmonic so it could be some unwanted emission from neighbour equipment.</span></div>
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<span style="background-color: transparent; color: black; font-family: Calibri; font-size: 14.666666666666666px; font-style: normal; font-variant: normal; font-weight: 400; text-decoration: none; vertical-align: baseline;"><img height="245" src="https://lh4.googleusercontent.com/z0DOCJ7Wg0-fZsp2ok8lMszAMTnORtv8BJnyngoY-PaGrkmerDe6bDqU5DMcwbiMMEQLH_nJJPKKf9b_Bb9yjGwM9weuMhf7ssNoIONEd9CfKvfd8Hk6DD34CttCtyleOqooimQkqTx1yjgp" style="-webkit-transform: rotate(0.00rad); border: none; transform: rotate(0.00rad);" width="325" /></span></div>
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<span style="background-color: transparent; color: black; font-family: Calibri; font-size: 13.333333333333332px; font-style: normal; font-variant: normal; font-weight: 700; text-decoration: none; vertical-align: baseline;">Figure 7: L5 PSD (left) and histogram+time series (right)</span></div>
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<span style="background-color: transparent; color: black; font-family: Calibri; font-size: 14.666666666666666px; font-style: normal; font-variant: normal; font-weight: 400; text-decoration: none; vertical-align: baseline;"><img height="245" src="https://lh4.googleusercontent.com/q-QNKjxrnbATEFmXyTphzufKw1BtAHFefGCzXaAI29x6irhzLNeOq_3FaHzbYc-E4-mW9EMpcTGVe6bbPXt16N0RAADNi8-gbVsSNlpiGBYn1Q-YvJazjw72wxtckoSQZsEyiAZk_eea36AP" style="-webkit-transform: rotate(0.00rad); border: none; transform: rotate(0.00rad);" width="325" /></span></div>
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<span style="background-color: transparent; color: black; font-family: Calibri; font-size: 14.666666666666666px; font-style: normal; font-variant: normal; font-weight: 400; text-decoration: none; vertical-align: baseline;"><img height="245" src="https://lh3.googleusercontent.com/vohMuDsIyHBGuR8OLNO0AnQqafzkaSJN4xMNRlJZHW3uviY5bO5l7qT4NZOIfGX9pXu6Jd-TwgUXumtqhqwkeO3FokpWl60YWfPq-ANlLAg8poen6Mf3xMj6H7qLxCkcCyBXJInV_18Ix-k7" style="-webkit-transform: rotate(0.00rad); border: none; transform: rotate(0.00rad);" width="325" /></span></div>
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<span style="background-color: transparent; color: black; font-family: Calibri; font-size: 13.333333333333332px; font-style: normal; font-variant: normal; font-weight: 700; text-decoration: none; vertical-align: baseline;">Figure 8: G30 correlation of L5 code detail (left) and all satellites (right).</span></div>
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<span style="background-color: transparent; color: black; font-family: Calibri; font-size: 14.666666666666666px; font-style: normal; font-variant: normal; font-weight: 400; text-decoration: none; vertical-align: baseline;">Interestingly, the Matlab satellite search algorithm returns respectively for L1 and L5:</span></div>
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<span style="background-color: transparent; color: black; font-family: 'Courier New'; font-size: 13.333333333333332px; font-style: normal; font-variant: normal; font-weight: 400; text-decoration: none; vertical-align: baseline;">Searching GPS30 -> found: Doppler +4500.0 CodeShift: 35226 xcorr: 12502.4</span></div>
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<span style="background-color: transparent; color: black; font-family: 'Courier New'; font-size: 13.333333333333332px; font-style: normal; font-variant: normal; font-weight: 400; text-decoration: none; vertical-align: baseline;">Searching GPS30 -> found: Doppler +3000.0 CodeShift: 35226</span></div>
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<span style="background-color: transparent; color: black; font-family: Calibri; font-size: 14.666666666666666px; font-style: normal; font-variant: normal; font-weight: 400; text-decoration: none; vertical-align: baseline;">The above outputs show coarse but correctly scaled Doppler [Hz] and a perfect match in code delay [samples] (just by chance spot on).</span></div>
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<span style="background-color: transparent; color: #244061; font-family: Cambria; font-size: 17.333333333333332px; font-style: normal; font-variant: normal; font-weight: 700; text-decoration: none; vertical-align: baseline;">4x GPS L1</span></h2>
<div dir="ltr" style="line-height: 1.3800000000000001; margin-bottom: 6pt; margin-top: 0pt; text-align: justify;">
<span style="background-color: transparent; color: black; font-family: Calibri; font-size: 14.666666666666666px; font-style: normal; font-variant: normal; font-weight: 400; text-decoration: none; vertical-align: baseline;">In this case I enabled all 4 channels and shared the LO amongst them all. Unfortunately I cannot show the 6dB increase in gain when steering a beam to a satellite as all RF inputs were connected to the same antenna and -being the noise the same- steering the phase is useless. However, it is possible to verify how the phase amongst the channels is perfectly coherent (requirement for an easy CRPA).</span></div>
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<span style="background-color: transparent; color: black; font-family: Calibri; font-size: 14.666666666666666px; font-style: normal; font-variant: normal; font-weight: 400; text-decoration: none; vertical-align: baseline;">The signals were conveniently brought to baseband, filtered and decimated by 5, resulting into a 10.6 MHz sampling rate. As one can see below the power was well matched and the inter-channel carrier phase is extremely steady and constant over the 60 seconds capture time. In the very case of zero-baseline, one can easily check that such phase difference is also the same across different satellites (as it does not depend on geometry but just on different path lengths beyond the splitter).</span></div>
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<span style="background-color: transparent; color: black; font-family: Calibri; font-size: 14.666666666666666px; font-style: normal; font-variant: normal; font-weight: 400; text-decoration: none; vertical-align: baseline;"><img height="245" src="https://lh3.googleusercontent.com/UskU5fo0ogYTRUkxE-uP40P4aNSefGNMNzlb_a132lL0GzeGNTd58xEswTfSoM3DIiRAXpVJxebkguv94AQ5DGoxVdQ6VfQyVnvHhTouVs44BfOiH-oPRmjFmPKeOTJIQUMsebcJ5T_gKNZz" style="-webkit-transform: rotate(0.00rad); border: none; transform: rotate(0.00rad);" width="325" /></span></div>
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<span style="background-color: transparent; color: black; font-family: Calibri; font-size: 13.333333333333332px; font-style: normal; font-variant: normal; font-weight: 700; text-decoration: none; vertical-align: baseline;">Figure 9:PSD of the IF obtained from the 4 channels and relative carrier phase</span></div>
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<span style="background-color: transparent; color: #244061; font-family: Cambria; font-size: 17.333333333333332px; font-style: normal; font-variant: normal; font-weight: 700; text-decoration: none; vertical-align: baseline;">GPS L1 + Glonass G1 + GPS L5 + Glonass G3</span></h2>
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<span style="background-color: transparent; color: black; font-family: Calibri; font-size: 14.666666666666666px; font-style: normal; font-variant: normal; font-weight: 400; text-decoration: none; vertical-align: baseline;">I wanted to verify here reception of Glonass G1 on the second channel (upper side band). At this point it had become merely a formality. Glonass CH0 is at +12 MHz so the acquisition returned correctly as shown below. Of course 53 Msps for a BPSK(0.5) is a bit of an overkill :)</span></div>
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<span style="background-color: transparent; color: black; font-family: Calibri; font-size: 14.666666666666666px; font-style: normal; font-variant: normal; font-weight: 400; text-decoration: none; vertical-align: baseline;"><img height="244" src="https://lh6.googleusercontent.com/614IdezM4QjeN2lCsqHQC606u1EjDHMORkgEcV9vVUT0EkWAdBRUkkuE04pwWtpYZQJEnQqC2219hclo6lS0PoR6gk1x1I0_4lybIA4CPavk0EhZImwIJwn6kTSx7A1kYRdi0RGH2cXxbE_J" style="-webkit-transform: rotate(0.00rad); border: none; transform: rotate(0.00rad);" width="325" /></span></div>
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<span style="background-color: transparent; color: black; font-family: Calibri; font-size: 14.666666666666666px; font-style: normal; font-variant: normal; font-weight: 400; text-decoration: none; vertical-align: baseline;"><img height="245" src="https://lh6.googleusercontent.com/oCHHtRElo2q5RQngd6X02mKdYf2FKIxiGjCNSbkAQfDkTI9WqIy0lbMJaXcQDD6GVCSIdSemzraVKNu0q7FXx-WSXIP5N0r0khCxK4PFiAA5nyS8EwARUe6dzUOw5CwaFYoutYj4nDOqr8QC" style="-webkit-transform: rotate(0.00rad); border: none; transform: rotate(0.00rad);" width="325" /></span></div>
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<span style="background-color: transparent; color: black; font-family: Calibri; font-size: 13.333333333333332px; font-style: normal; font-variant: normal; font-weight: 700; text-decoration: none; vertical-align: baseline;">Figure 10: Glonass acquisition all satellites (left) and CH-5 detail (right).</span></div>
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<span style="background-color: transparent; color: #244061; font-family: Cambria; font-size: 17.333333333333332px; font-style: normal; font-variant: normal; font-weight: 700; text-decoration: none; vertical-align: baseline;">GPS L1 + Beidou B1 + GPS L5 + Galileo E5b</span></h2>
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<span style="background-color: transparent; color: black; font-family: Calibri; font-size: 14.666666666666666px; font-style: normal; font-variant: normal; font-weight: 400; text-decoration: none; vertical-align: baseline;">The case for GPS and Beidou was a bit more challenging as the distance between L1 and B1 is only 14.322 MHz, thus the IFs must be around 7 MHz. I decided to set the LO to 1570 MHz (R1=1, N1=157). So GPS went upper side band on channel 1 at +5.42 MHz IF. Beidou consequently went on lower side band on channel 2 at -8.902 MHz. Channel 3 and 4 were enabled with LO2 set at 1190 MHz: in the middle between E5a and E5b in order to verify AltBOC reception.</span></div>
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<span style="background-color: transparent; color: black; font-family: Calibri; font-size: 14.666666666666666px; font-style: normal; font-variant: normal; font-weight: 400; text-decoration: none; vertical-align: baseline;">As 1570 MHz is a nasty frequency to generate a round sampling frequency value I decide to derive the clock from LO2 using K2/2 = 10 and therefore stream at 59.5 Msps. As one can see below the L1 peak has moved very close to baseband now and the sampling frequency is quite exceeding the Nyquist limit.</span></div>
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<span style="background-color: transparent; color: black; font-family: Calibri; font-size: 13.333333333333332px; font-style: normal; font-variant: normal; font-weight: 700; text-decoration: none; vertical-align: baseline;">Figure 11: GPS acquisition with close-in IF</span></div>
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<span style="background-color: transparent; color: black; font-family: Calibri; font-size: 13.333333333333332px; font-style: normal; font-variant: normal; font-weight: 700; text-decoration: none; vertical-align: baseline;">Figure 12: Beidou B1 sprectrum (MSS on the right) and acquisition (incidentally also showing IGSO generation 3 satellites C31 and C32).</span></div>
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<span style="background-color: transparent; color: black; font-family: Calibri; font-size: 13.333333333333332px; font-style: normal; font-variant: normal; font-weight: 700; text-decoration: none; vertical-align: baseline;">Figure 13: E5a acquisition of E30</span></div>
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<span style="background-color: transparent; color: black; font-family: Calibri; font-size: 14.666666666666666px; font-style: normal; font-variant: normal; font-weight: 400; text-decoration: none; vertical-align: baseline;"><img height="244" src="https://lh3.googleusercontent.com/tDfvj4D6XaG-_aIebfUN8_xDgaFnSxjhtn6DFxESyBpchQA-oESAyxm5God_H4QUrEoQW25Ab0ecisL7FEL8nTSop6-mk6BmOqhon0OXozeam2UW3o6BXShT-mNykt1McyXgh0MM9FaF7cdA" style="-webkit-transform: rotate(0.00rad); border: none; transform: rotate(0.00rad);" width="325" /></span></div>
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<span style="background-color: transparent; color: black; font-family: Calibri; font-size: 13.333333333333332px; font-style: normal; font-variant: normal; font-weight: 700; text-decoration: none; vertical-align: baseline;">Figure 14: E5b acquisition of E30, showing a perfect match in code delay with E5a as one would expect.</span></div>
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<span style="background-color: transparent; color: #244061; font-family: Cambria; font-size: 18.666666666666664px; font-style: normal; font-variant: normal; font-weight: 700; text-decoration: none; vertical-align: baseline;">Conclusions and work to do </span></h1>
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<span style="background-color: transparent; color: black; font-family: Calibri; font-size: 13.333333333333332px; font-style: normal; font-variant: normal; font-weight: 700; text-decoration: none; vertical-align: baseline;"><span style="background-color: transparent; color: black; font-family: Calibri; font-size: 14.666666666666666px; font-style: normal; font-variant: normal; font-weight: 400; text-decoration: none; vertical-align: baseline;">I am very suprised of how little time took me from unboxing the kit to sucessfully using it to acquire all the GNSS signals I could think and test all configurations. Of course I had the former experience with the NT1036 but this time I had the perception of a solid, feature-rich, plug-and-play IC.</span></span></div>
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<span style="background-color: transparent; color: black; font-family: Calibri; font-size: 13.333333333333332px; font-style: normal; font-variant: normal; font-weight: 700; text-decoration: none; vertical-align: baseline;"><span style="background-color: transparent; color: black; font-family: Calibri; font-size: 14.666666666666666px; font-style: normal; font-variant: normal; font-weight: 400; text-decoration: none; vertical-align: baseline;">In my todo list there is the extension of this post with a home-made measurement of channel isolation.. and the way I plan to do it should be interesting to the readers :)</span></span></div>
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Michelehttp://www.blogger.com/profile/03657889163945060210noreply@blogger.com23tag:blogger.com,1999:blog-5679825113811261335.post-50072059525247553312016-01-01T14:11:00.001-08:002016-02-15T06:20:15.662-08:00Happy begin of 20162015 just passed. I don't write much here anymore as time has become a very precious resource and my job imposes tight limitations on what one can or cannot write on the web.<br />
The yearly update will quickly cover constellation the status, some info on low cost RTK developments and some more SDR thoughts (although the most significant article in that respect will come soon in another post).<br />
<br />
<h4>
Constellation updates</h4>
<br />
As retrieved from Tomoji Takasu's <a href="http://gpspp.sakura.ne.jp/diary201512.htm" target="_blank">popular diary</a>, 2015 has seen the following launches:<br />
<br />
<span style="font-family: "courier new" , "courier" , monospace; font-size: small;">Date/Time (UTC) Satellite Orbit Launcher Launch Site Notes <br />2015/03/25 18:36 GPS Block IIF-9 MEO Delta-IV Cape Canaveral, US G26 <br />2015/03/27 21:46 Galileo FOC-3, 4 MEO Soyuz ST-B Kourou, French Guiana E26, E22<br />2015/03/28 11:49 IRNSS-1D IGSO PSLV Satish Dhawan SC, India 111.75E <br />2015/03/31 13:52 BeiDou-3 I1 IGSO Long March 3C Xichang, China C15<br />2015/07/15 15:36 GPS Block IIF-10 MEO Atlas-V Cape Canaveral, US G08<br />2015/07/25 12:28 BeiDou-3 M1-S, M2-S MEO Long March 3B Xichang, China ?<br />2015/09/10 02:08 Galileo FOC-5, 6 MEO Soyuz ST-B Kourou, French Guiana E24, E30<br />2015/09/29 23:23 BeiDou-3 I2-S IGSO Long March 3B Xichang, China ?<br />2015/10/30 16:13 GPS Block IIF-11 MEO Atlas-V Cape Canaveral, US G10<br />2015/11/10 21:34 GSAT-15 (GAGAN) GEO Ariane 5 Kourou, French Guiana 93.5E<br />2015/12/17 11:51 Galileo FOC-8, 9 MEO Soyuz ST-B Kourou, French Guiana E??, E??</span><br />
<br />
<b>GPS </b><br />
<br />
GPS replaced three IIA birds with brand new IIF, as one can see Figure 1. The number of GPS satellites transmittiing L5 raised now to 11 (as one can also verify <a href="http://www.unavco.org/projects/project-support/gnss-support/gnss-modernization/gnss-modernization.html" target="_blank">with UNAVCO</a>). The number of GPS with L2C is instead 18 (quite close to a nominal constellation!). The question is now how GPS will proceed in 2016 and beyond, having seen the delays that afffect OCX and in general the bad comments (see e.g. <a href="http://www.insidegnss.com/node/4636" target="_blank">1</a> and <a href="http://www.insidegnss.com/node/4757" target="_blank">2</a>) on the progress of modernisation of GPS.<br />
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<tr><td style="text-align: center;"><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEg6OuFzJtCXL-03Q1Luzu4egIsqxDMYMh5r1OiE59_QqASBccDK87vK5pp_VgVY5NZNfvGAxOM10tyITFWBocLBqtVTeFHmpclSdKao9rUOwSq1KMHopX7sW_TKkF8CL9YLL-FNg7tZnso/s1600/g_1year.png" imageanchor="1" style="margin-left: auto; margin-right: auto;"><img border="0" height="640" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEg6OuFzJtCXL-03Q1Luzu4egIsqxDMYMh5r1OiE59_QqASBccDK87vK5pp_VgVY5NZNfvGAxOM10tyITFWBocLBqtVTeFHmpclSdKao9rUOwSq1KMHopX7sW_TKkF8CL9YLL-FNg7tZnso/s640/g_1year.png" width="512" /></a></td></tr>
<tr><td class="tr-caption" style="text-align: center;">Figure 1: One year of GPS observations, obtained using a bespoke tool from the freely available data courtesy of the IGS network.</td></tr>
</tbody></table>
<b>Glonass</b><br />
<br />
Stable situation here, as seen in Figure 2, with the only exception of PRN 17 going offline in mid-October (perhaps soon to be replaced according to the <a href="http://gpsworld.com/resources/upcoming-gnss-satellite-launches/" target="_blank">table of upcoming launches</a>)
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<tr><td style="text-align: center;"><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEh4dUGaTB8uyNr_OILzBRM1s3V6nqw01yHcwdB1EDmUW1RPTppK0i1xRXGpwJ_DTujNctVk5ylzG2k8dC6bHVbBYnxThSYfFs4tOE1jqoC2o_Jz-f2UOQE-dvIx-tudRraiTBAhD18obf0/s1600/r_1year.png" imageanchor="1" style="margin-left: auto; margin-right: auto;"><img border="0" height="640" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEh4dUGaTB8uyNr_OILzBRM1s3V6nqw01yHcwdB1EDmUW1RPTppK0i1xRXGpwJ_DTujNctVk5ylzG2k8dC6bHVbBYnxThSYfFs4tOE1jqoC2o_Jz-f2UOQE-dvIx-tudRraiTBAhD18obf0/s640/r_1year.png" width="640" /></a></td></tr>
<tr><td class="tr-caption" style="text-align: center;">Figure 2: One year of Glonass observations</td></tr>
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<b>Galileo</b><br />
<br />
The situation has been very "dynamic" for Galileo but is indeed very promising as seen in Figure 3. <a href="http://www.insidegnss.com/node/4762" target="_blank">The latest launch went well</a> and we can hope for several signals in space in 2016: hopefully the year that Galileo will make its appeareance in most consumer devices. Incidentally, there are as of today 8 satellites broadcasting E5a.<br />
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<br />
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<br />
<b>Beidou </b><br />
<br />
Also for Beidou the situation is rapidly evolving as can be seen in Figure 4. My colleague James and I did a detailed study on the new generation satellites and published part of it on <a href="http://gpsworld.com/first-signals-of-beidou-phase-3-acquired-at-ispra-italy/" target="_blank">GPSWorld</a>. Indeed 3rd generation test birds host a very versatile payload that allows them to broadcast modern navigation signals on three frequencies. Incidentally C34 and C33 (the two MEO space vehicles) also broadcast a QPSK on E5a. <br />
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<tr><td style="text-align: center;"><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEiyD0HxMCVhcLmkWWoaBRwbYOkaSrmLznA9LSIvzPXCsKQOmxu-GSHrWdi8QEIE0dFr6RwCkrYYcf-BUPLohpFNgDi_aDbulFW5kw7TpGQuipdaY50eqtKfVhI3IVDlJnbCD75xg3fGIFo/s1600/c_1year.png" imageanchor="1" style="margin-left: auto; margin-right: auto;"><img border="0" height="640" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEiyD0HxMCVhcLmkWWoaBRwbYOkaSrmLznA9LSIvzPXCsKQOmxu-GSHrWdi8QEIE0dFr6RwCkrYYcf-BUPLohpFNgDi_aDbulFW5kw7TpGQuipdaY50eqtKfVhI3IVDlJnbCD75xg3fGIFo/s640/c_1year.png" width="640" /></a></td></tr>
<tr><td class="tr-caption" style="text-align: center;">Figure 4: One year of Beidou observations.</td></tr>
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<br />
<h4>
Low cost RTK</h4>
An awful lot of progress here, with NVS, Skytraq, Geostar Navigation and uBlox releasing multi-constellation single frequency products for RTK.<br />
<br />
<a href="http://nvs-gnss.com/" target="_blank">NVS </a>released two products with onboard GPS+Glonass (upgradeable to Galileo) RTK engine: <a href="http://nvs-gnss.com/products/receivers/item/39-nv08c-rtk.html" target="_blank">NV08C-RTK</a> (for standard base-rover configuration) and <a href="http://nvs-gnss.com/products/receivers/item/45-nv08c-rtk-a.html" target="_blank">NV08C-RTK-A</a> (with added dual antenna heading determination for precision AG). Rumors say that they both run an highly reworked version of RTKLIB on a <a href="http://www.nxp.com/documents/data_sheet/LPC3220_30_40_50.pdf" target="_blank">LPC32xx </a>microcontroller (ARM926EJ-S processor with VFP unit). The price is not public, but again rumors suggest it is a few hundreds of EUR a piece (in small quantities) for the single receiver version. I got my hands on a couple of boards and build a simple adapter board to be able to use them with a standard laptop and a wireless module fitting the Xbee socket (including <a href="http://gprsbee.com/" target="_blank">this one</a>).<br />
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<a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgdnyQbURtv19fVhb4r1qeVXw1-FRUIf762FBEQpG3SgvhYpy3c_9pyFCvOB2VcS03f0k8DPT95sH86L-MCxZkboWwNjCOpU-aPeK4BJ-V3T6EPCnhKGvJNJz6yzuhyphenhyphencuLXFXEVy-XM-z4/s1600/IMG_20160101_214816.jpg" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"><img border="0" height="418" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgdnyQbURtv19fVhb4r1qeVXw1-FRUIf762FBEQpG3SgvhYpy3c_9pyFCvOB2VcS03f0k8DPT95sH86L-MCxZkboWwNjCOpU-aPeK4BJ-V3T6EPCnhKGvJNJz6yzuhyphenhyphencuLXFXEVy-XM-z4/s640/IMG_20160101_214816.jpg" width="640" /></a></div>
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<br />
<a href="http://www.skytraq.com.tw/" target="_blank">Skytraq </a>has built on its <a href="http://www.navspark.com.tw/" target="_blank">Navspark </a>initiative and came out with two groundbreaking products <a href="http://navspark.mybigcommerce.com/s2525f8-rtk-rtk-capable-gps-receiver-1/" target="_blank">S2525F8-RTK</a><br />
and <a href="http://navspark.mybigcommerce.com/s2525f8-bd-rtk-25mm-x-25mm-rtk-receiver-module/" target="_blank">S2525F8-BD-RTK</a>. The -I shall say- provocative price of 50 and 150 USD respectively sets a new threshold very hard to beat. Skytraq has also done extensive analysis on the performance of GPS only versus GPS+Beidou single frequency RTK, e.g. <a href="http://www.navspark.com.tw/high-precision/" target="_blank">here</a> and <a href="http://navsparkcommunity.ning.com/blog" target="_blank">here</a>. In Asia the dual constellation (2x CDMA) single frequency (1540x and 1526x f<sub>0</sub>) RTK shows incredibly promising results, mainly due to the impressive number of birds in view. I got my hands on a couple of plug&play evaluation kits and already verified the sub-minute convergence time to fix in zero baseline and good visibility conditions.<br />
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<a href="http://www.geostar-navi.com/en/index.html" target="_blank">Geostar Navigation</a> has also recently released the <a href="http://www.geostar-navi.com/en/navigation_01r.html" target="_blank">GeoS-3MR</a> which is practically identical in terms of capability to the GeoS-3 and GeoS-3M, but has a factory setting such that <a href="http://www.geostar-navi.com/file/firmware3/geos3_243.bin" target="_blank">the most recent firmware</a> provides carrier phase for both GPS and Glonass. Although Glonass phase is not calibrated, last month statements from Tomoji suggest that this feature could be incorporated in v2.4.3 anyway.<br />
A few years ago I had designed and produced some carrier boards for GeoS-3M so I could just place an order for a few raw-capable chips (at 25 USD each) and test them out. The software provided by the manufacturer (<a href="http://www.geostar-navi.com/en/software_geosdemo3.html" target="_blank">Demo3</a> and <a href="http://www.geostar-navi.com/en/geos3tornx.html" target="_blank">toRNX</a>) allows to extract Rinex observations from the binary logs. At the time I had also developed <a href="https://drive.google.com/file/d/0B-53jUCxztG1dU8zdlVQRThOWEE/view?usp=sharing" target="_blank">some parser code for RTKLIB</a> but I now found out that it has a small issue.. I don't feel like reinstalling C++ Builder just to fix it but anyone please feel free to take that code and push it to v2.4.3.<br />
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<br />
uBlox released the M8T module with raw data support for two simultaneous constellations.. very interesting chip but I have the feeling that some big change is going to happen there since the Company is focussing much more on comms than nav lately.<br />
<br />
ComNav offers the <a href="http://www.comnavtech.com/products-detail.asp?id=14&sw=1366&sh=768" target="_blank">K500 OEM board</a> also for less than 300 EUR in small quantities. <br />
<br />
In view of all the above, one could expect that initiatives like <a href="http://www.emlid.com/reach/" target="_blank">Reach®</a> and <a href="http://www.swiftnav.com/piksi.html" target="_blank">Piksi®</a> will surely have to reconsider their approach. In particular, things based on <a href="https://software.intel.com/en-us/iot/hardware/edison">Edison®</a> are facing the competition of ARM-based modules which are perfectly capable of RTK and are accessible at a much lower price (e.g. see <a href="https://www.raspberrypi.org/products/pi-zero/" target="_blank">Raspberry Pi Zero</a> and <a href="http://getchip.com/">C.H.I.P. </a> SwiftNav has recently release <a href="http://downloads.swiftnav.com/piksi_v2.3.1/nap_fw/">an update</a> but unless they go multi-frequency rapidly the competition will give them very hard times.<br />
<br />
Finally, low cost dual frequency cards such as <a href="http://www.tersus-gnss.com/products/precis-b01">Precis-L1L2</a> have started to appear. Apparently based on a Chinese Unicorecomm OEM board it offers multi-constellation multi-frequency RTK at 800 USD.<br />
<h4>
SDR</h4>
Over the holydays I assembled the test-bench for the NT1065, the latest multi-constellation front-end from NTLAB. The setup again is very clean and builds on lessons learnt with the NT1036: I will present the first results soon, in the next post.<br />
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<br />
Since the chip has the native capability of streaming about 60 MBytes/sec (4 channels ~15 MHz IF output at 2-bit per sample) a USB2.0 transceiver is sub-optimal as limited to about 40 Mbytes/sec.<br />
I started investigating the <a href="http://www.ftdichip.com/Products/ICs/FT600.html" target="_blank">FT601 </a>USB3.0 trasceiver from FTDI and the <a href="http://www.micrel.com/index.php/products/lan-solutions/phys/article/6.html" target="_blank">KSZ9031RNX </a>GigETH transceiver from Micrel, as seen in the beautiful development from <a href="http://pmonta.com/blog/" target="_blank">Peter Monta</a>. Also, the availability of the <a href="http://www.cypress.com/documentation/development-kitsboards/cyusb3kit-003-ez-usb-fx3-superspeed-explorer-kit" target="_blank">FX3 Explorer Kit</a> is tempting as easy mid-step solution. There are many SDR boards, but I would just need a cheap programmable FPGA+GigETH/USBSS and I cannot find it... <a href="https://www.parallella.org/" target="_blank">Parallella </a>seems the best candidate with its <a href="http://www.digikey.com/product-detail/en/ACC1600-01/1554-1003-ND/5048176" target="_blank">Porcupine </a>to use and some software to develop of course (I am surprised nobody published a GPIO-GigEth streamer software with Parallella yet). Ettus and Avnet are much ahead with powerful SDR platforms (e.g. the <a href="http://www.ettus.com/product/details/UB210-KIT" target="_blank">B210</a> and the <a href="http://zedboard.org/product/picozed-sdr-som" target="_blank">picoZed SDR SOM</a>) but there is what feels a steep lerning curve to use them. Perhaps it is time again to go design something?<br />
In the meantime, I am watching the <a href="http://www.amazon.com/pcDuino-pcDuino3-Nano-Lite/dp/B00ZEPZGQO" target="_blank">pcDuino3 Nano Lite</a> and the <a href="http://www.hardkernel.com/main/products/prdt_info.php" target="_blank">Odroid XU4</a> as cheap NAS solutions to efficiently store long snapshots of IF data.Michelehttp://www.blogger.com/profile/03657889163945060210noreply@blogger.com1tag:blogger.com,1999:blog-5679825113811261335.post-59193651452835606642015-05-12T13:43:00.003-07:002015-05-17T02:19:30.997-07:00A modern GNSS front-end<div class="separator" style="clear: both; text-align: center;">
</div>
Earlier this year I had the occasion and privilege to be trying out a new front-end produced by NTLab, the NT1036. I thought it would be interesting to share this with the GNSS crowd.<br />
The kit arrived composed by two separate boards: a control board and the actual chip evaluation board, as well as a CD with the software and detailed data-sheet. The controller board connects seamlessly to the evaluation one by means of a single flat cable with RJ12 ends. Although the suggested supply voltage is 3.0V pm5%, it was very convenient to use the same cable to power the board with 3.3V. Also, having a single common supply avoids currents on the control lines. In the end the chip worked fine in this configuration so I assume it was a safe choice to take.<br />
The chip has many unique characteristics that make it suitable for a modern GNSS receiver. The ones of greatest interest to me are the following:<br />
<ul>
<li>Four independent input channels</li>
<li>Two wideband VCO banks, on high and low RNSS bands, which can be routed with great flexibility amongst the four mixers, in particular allowing:</li>
<ul>
<li>GPS/Glonass L1+L2 or L1+L5</li>
<li>GPS/Beidou L1+L2 or L1+L5</li>
<li>All 4 channels on either L1 or L2/L5</li>
</ul>
<li>3.0V supply voltage and low power dissipation (ideal for USB-powered devices)</li>
<li>Analog or digital output options for IF (real-only, which I like best) and clock lines.</li>
<li>Small, easy to assemble package</li>
</ul>
Obviously, the killer applications for this kind of chip are well contained antenna arrays and multi-frequency multi-constellation hardware and software receivers.<br />
Having a lot of testing equipment at hand one could really crack a nut like this one. However, with limited hardware at hand I decided to use my SdrNav40 board and slightly modify its firmware so to ignore the 4 on-board RF channels and capture instead the evaluation kit outputs and clock.<br />
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<tr><td style="text-align: center;"><div class="separator" style="clear: both; text-align: center;">
<a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhxSD1p7Fi1741pHpPw9qBWDxkumpda3azyq9TO1raswwTFCd51GJvKojUf-JQTFvQqF2fPtBBvrJo6bSqISMY2Aax2rsFp1rOB2HMqcMYdDG7d5eZfBYgjSTTdOoakm8lhWhAFT6fiQdo/s1600/IMG_20150503_120247.jpg" imageanchor="1" style="margin-left: auto; margin-right: auto;"><img border="0" height="300" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhxSD1p7Fi1741pHpPw9qBWDxkumpda3azyq9TO1raswwTFCd51GJvKojUf-JQTFvQqF2fPtBBvrJo6bSqISMY2Aax2rsFp1rOB2HMqcMYdDG7d5eZfBYgjSTTdOoakm8lhWhAFT6fiQdo/s400/IMG_20150503_120247.jpg" width="400" /></a></div>
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<tr><td class="tr-caption" style="text-align: center;">Figure 1: Test setup, with 4 way power splitter and SdrNav40 powering the antenna.</td></tr>
</tbody></table>
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<tr><td style="text-align: center;"><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhXJGo7J9Sw5f4qvq8xmzZdgs5wgMGTIKy3CNAm2QQlkw8pBrs-R4HtLI0qvjcOni5w_RPzufOdllRVzbCC-nASQCmTNxISDMm5nTMocf_t3EdRuwYeWkLzuMzszXBrlGJYSMsHuH37slI/s1600/IMG_20150503_120346.jpg" imageanchor="1" style="margin-left: auto; margin-right: auto;"><img border="0" height="300" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhXJGo7J9Sw5f4qvq8xmzZdgs5wgMGTIKy3CNAm2QQlkw8pBrs-R4HtLI0qvjcOni5w_RPzufOdllRVzbCC-nASQCmTNxISDMm5nTMocf_t3EdRuwYeWkLzuMzszXBrlGJYSMsHuH37slI/s400/IMG_20150503_120346.jpg" width="400" /></a></td></tr>
<tr><td class="tr-caption" style="text-align: center;">Figure 2: Closeup of the test setup</td></tr>
</tbody></table>
Two tests were particularly useful for me: GPS/Glonass L1+L2 and four channels on L1. The first should lift any doubt on the potential fields of application of the chip. The second should solve my curiosity on phase behaviour of common LO (Local Oscillator) MI (Multiple-Input) front-ends.<br />
The GUI to control the configuration of the NT1036 is incredibly rich and professional: low hanging fruit for a curious engineer.<br />
<table align="center" cellpadding="0" cellspacing="0" class="tr-caption-container" style="margin-left: auto; margin-right: auto; text-align: center;"><tbody>
<tr><td style="text-align: center;"><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgqsJFaLauXa006k0-LeHWRDs9dvetHsawTLqHMqKjsYQH8DfvQOsb8yCRN0jEVJhpMphpIObjMQrlGbtIFxrFmCjhzoP8RN4B_bCGbkn5_aI0igCE_eliVhMSqL-h16l9azZMZVdMsE9U/s1600/gui-1.png" imageanchor="1" style="margin-left: auto; margin-right: auto;"><img border="0" height="246" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgqsJFaLauXa006k0-LeHWRDs9dvetHsawTLqHMqKjsYQH8DfvQOsb8yCRN0jEVJhpMphpIObjMQrlGbtIFxrFmCjhzoP8RN4B_bCGbkn5_aI0igCE_eliVhMSqL-h16l9azZMZVdMsE9U/s400/gui-1.png" width="400" /></a></td></tr>
<tr><td class="tr-caption" style="text-align: center;">Figure 3: NT1036 configuration tool: general settings tab, where the synthesizers can be programmed</td></tr>
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<tr><td style="text-align: center;"><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEincVY4yI6BfpGjKCv_RSDwal86wVccjWZxa6II9WhJdE3K4MC5rS1l81I-qFynk7igO467KAv_yDdpUN9egNeZoA9Tg7qKj7_irjVsmFAYIu4c_uFlBfMqWON0-qvw5EFSLrChULluEdY/s1600/gui-2.png" imageanchor="1" style="margin-left: auto; margin-right: auto;"><img border="0" height="246" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEincVY4yI6BfpGjKCv_RSDwal86wVccjWZxa6II9WhJdE3K4MC5rS1l81I-qFynk7igO467KAv_yDdpUN9egNeZoA9Tg7qKj7_irjVsmFAYIu4c_uFlBfMqWON0-qvw5EFSLrChULluEdY/s400/gui-2.png" width="400" /></a></td></tr>
<tr><td class="tr-caption" style="text-align: center;">Figure 4: NT1036 configuration tool: channels 1 and 2 tab</td></tr>
</tbody></table>
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<tr><td style="text-align: center;"><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEiOti6Cg81Cq9wbICgr0_XwKgtyROmSUHTE1M2HWYAFOcyKgJZ380oijJ1iUZTxvcxx199XDMgGTsM87HxWrcRIOs8sI1TpCxWeY7SFJ5Wma-SVFzFbLoC5EK1S9tsO8UiGHwpQmsutW4E/s1600/gui-4.png" imageanchor="1" style="margin-left: auto; margin-right: auto;"><img border="0" height="246" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEiOti6Cg81Cq9wbICgr0_XwKgtyROmSUHTE1M2HWYAFOcyKgJZ380oijJ1iUZTxvcxx199XDMgGTsM87HxWrcRIOs8sI1TpCxWeY7SFJ5Wma-SVFzFbLoC5EK1S9tsO8UiGHwpQmsutW4E/s400/gui-4.png" width="400" /></a></td></tr>
<tr><td class="tr-caption" style="text-align: center;">Figure 5: <span style="font-size: 12.8000001907349px;">NT1036 configuration tool: main chip blocks tab</span></td></tr>
</tbody></table>
<div>
For GPS/Glonass reception the tuner offers a default configuration with the two VCO banks tuning in the middle between GPS L1 and Glonass G1 (and similarly for L2/G2), thus having GPS in high-side mixing and Glonass in low-side mixing. Configurable IF filter banks select one or the other. The distance between the centre frequencies (being about 26 MHz on 20 MHz for high and low RNSS respectively) suggests a L1 plan in which a FS of about 52 MHz puts both carriers around FS/4 for ease of down-conversion. Setting FS to 53MHz (derived from an integer PLL) allows achieving GPS L1 on 14.58 MHz. Plots that everyone likes follow.</div>
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<tr><td style="text-align: center;"><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhfsL45TGP2wOpICVX_JGZxiQ9arjDxHOTQWDckMNoq0U81UjSw-7KXUNvS-tC8Uz7Qnq6dem96TraP4S_tkH3EHXmloHRCL-m4IVvr5zRVyU3j2HK9wpMajIrgGl-VDg7XyuCcYaEjjtA/s1600/gps_spec-l1.png" imageanchor="1" style="margin-left: auto; margin-right: auto;"><img border="0" height="300" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhfsL45TGP2wOpICVX_JGZxiQ9arjDxHOTQWDckMNoq0U81UjSw-7KXUNvS-tC8Uz7Qnq6dem96TraP4S_tkH3EHXmloHRCL-m4IVvr5zRVyU3j2HK9wpMajIrgGl-VDg7XyuCcYaEjjtA/s400/gps_spec-l1.png" width="400" /></a></td></tr>
<tr><td class="tr-caption" style="text-align: center;">Figure 6: PSD of samples acquired in high-injection mode on L1 at about 50Msps</td></tr>
</tbody></table>
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<tr><td style="text-align: center;"><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhkwlJt3i-HPirs8oegx7YqUorq7v_wg5Hg51T7Y2lf9zqtKSl6EXwVJfgq9XAOPxRhvWHPzNqKCY7vgykB2iMisqVgx4xcpWoe-rJFHUWPXXtum7qQkoJ69U1oFw53sYnAqSRMAFhoIHs/s1600/ch_1.png" imageanchor="1" style="margin-left: auto; margin-right: auto;"><img border="0" height="311" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhkwlJt3i-HPirs8oegx7YqUorq7v_wg5Hg51T7Y2lf9zqtKSl6EXwVJfgq9XAOPxRhvWHPzNqKCY7vgykB2iMisqVgx4xcpWoe-rJFHUWPXXtum7qQkoJ69U1oFw53sYnAqSRMAFhoIHs/s400/ch_1.png" width="400" /></a></td></tr>
<tr><td class="tr-caption" style="text-align: center;">Figure 7: Histogram and time series of the signal acquired with NT1036 (sign and magnitude output)</td></tr>
</tbody></table>
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<tr><td style="text-align: center;"><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgeFV_jVCkeFk3F7XADZrKPbSs-d6tc4OQMe6MV8cCq9zuaX27EuMgQotJV6430ehBsKBNWUktxGBGy2-lQ5LF9MB6AvmiiQKLwfFn7CbMNhzofKEbu_rW_kaghGcQsUGuUvN9bhfrlC_A/s1600/gps_allchan-l1.png" imageanchor="1" style="margin-left: auto; margin-right: auto;"><img border="0" height="300" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgeFV_jVCkeFk3F7XADZrKPbSs-d6tc4OQMe6MV8cCq9zuaX27EuMgQotJV6430ehBsKBNWUktxGBGy2-lQ5LF9MB6AvmiiQKLwfFn7CbMNhzofKEbu_rW_kaghGcQsUGuUvN9bhfrlC_A/s400/gps_allchan-l1.png" width="400" /></a></td></tr>
<tr><td class="tr-caption" style="text-align: center;">Figure 8: Results of GPS satellites <span style="font-size: 12.8000001907349px;">acquisition</span><span style="font-size: 12.8000001907349px;">.</span></td></tr>
</tbody></table>
<div>
<br />
I have in mind to continue my tests on the chip, subject to time which is always very little!</div>
<div>
Till next time...</div>
Michelehttp://www.blogger.com/profile/03657889163945060210noreply@blogger.com1tag:blogger.com,1999:blog-5679825113811261335.post-87389147103149756172014-09-09T04:04:00.000-07:002014-09-09T04:05:44.611-07:00At ION GNSS+ 2014To whom it may happen to be in Tampa these days: I will also be around.<br />
<br />
<img src="http://gpsworld.com/wp-content/uploads/2014/09/Tampa_Waterfront_O.jpg" height="206" width="400" /> <br />
<br />
Feel free to come and chat!<br />
<br />Michelehttp://www.blogger.com/profile/03657889163945060210noreply@blogger.com2tag:blogger.com,1999:blog-5679825113811261335.post-21710984172915052092014-05-20T15:25:00.001-07:002014-05-20T15:26:03.910-07:00Galileo RTK with NV08C-CSM hw 4.1<div class="separator" style="clear: both; text-align: center;">
</div>
<div style="margin-left: 1em; margin-right: 1em;">
</div>
Being European I am often subject to skepticism about Galileo and compelled to justify its delays and usefulness. Explaining why Galileo is better and needed is beyond the scope of my blog but IMHO there is one key selling point that not many people stress.<br />
<br />
Galileo was designed from the ground up in close collaboration with the USA: GPS and Galileo share L1 (1575.42 MHz) and L5/E5a (1176.45 MHz). In the future, a dual frequency GPS+Galileo L1/L5 receiver will deliver products with an incredible ratio between (performance+availability)/silicon.<br />
According to scheduled launches there could be 12+ satellites supporting open L1+L5 by the end of this year already.<br />
In the meantime, NVS touches base first in the mass-market receiver domain by delivering consistent carrier-phase measurements for GPS+Glonass+Galileo.<br />
<br />
I have recently run zero-baseline double-differences in static, perfect visibility conditions using a high-end survey antenna: <br />
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<tr><td style="text-align: center;"><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjGRdNPYzZnujWnzs53oZk_-0ytIUx8VopJM6jYsu5eYGzmOTYm7gh7ry3_latWOo8RdiuO9Fu9iM0SoYtYQ_d-_URkBn-YMA_i7GPVZO9XGJl_-HhMkol0-SV8CsxLBJD8tDV9rKTxQLo/s1600/NVS_340.png" imageanchor="1" style="margin-left: auto; margin-right: auto;"><img border="0" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjGRdNPYzZnujWnzs53oZk_-0ytIUx8VopJM6jYsu5eYGzmOTYm7gh7ry3_latWOo8RdiuO9Fu9iM0SoYtYQ_d-_URkBn-YMA_i7GPVZO9XGJl_-HhMkol0-SV8CsxLBJD8tDV9rKTxQLo/s1600/NVS_340.png" height="240" width="320" /></a></td></tr>
<tr><td class="tr-caption" style="text-align: center;">Figure 1: Galileo double differences in static zero-baseline (NV08C-CSM hw4.1)</td></tr>
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Using E11 as reference, the carrier phase noise is well contained within 0.01 circles (2mm). <br />
With RTKLIB I run a Galileo-only static IAR and the result is as expected:<br />
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" 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" width="320" /></a></td></tr>
<tr><td class="tr-caption" style="text-align: center;">Figure 2: Static IAR with Galileo only (4 IOVs)</td></tr>
</tbody></table>
The combined GPS+Galileo static IAR looks like this:<br />
<br />
<table align="center" cellpadding="0" cellspacing="0" class="tr-caption-container" style="margin-left: auto; margin-right: auto; text-align: center;"><tbody>
<tr><td style="text-align: center;"><a 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+hUA2tOvANCefgWA9vRrx8xVCEGEEEQCKRT6tWPmKoQgQggigRQK/doxcxVCECEEkUAKhX4FgPb0K7S08RtHgVvx+4ehme2/mAHch7+f0zdzFWIahHK9kEdEAikUzl87Zq5CTIMQyoVMfgIpFF5/7Zi5CqFfQ5j8BFIo9Cu0ZAcGfuhXaMkODPzQr9CSHRj4oV87Zq5CeP01hMlPIIVCv3bMXIXQryFMfgIpFPq1Y+YqhH4NYfITSKHQr9CSHRj4oV+hJTsw8EO/Qkt2YOCHfn3b7i+Ynd3guF9IW+aq1SZe/irqteX3+UW7u/f0g98/vPWLSasn9t0Ivt/omaF/sK3mj4h6Qz4cPtsV84/hH2v5iPt6MJ8Iz2b3D6TMbnDoH1T5matWm3i1ntXl9/lDMTX3dHpYr5mWjZvVT+y7EXy/0TND/2xbbR8R9YZ8OHy8K4Yfwz/W8BH31K+vOH9tu9F8756/1uzDzl+P2Jbz17acv844fz3c7ghnNzjhHrXaxKv1rC7PT6qVt+7p79+/a26/cZv6zb0bwfcbPTP0b7Z1/s455MPhuF2xUw0fcfp1nX5tu9F8+vXjLX5Dv15Ov87o18Pp17YbzadfP97iN/Tr5fTrjH49XE6/ljXr10O9lbh+beWDbTV/RHyw6ZF8tisOORU/9Ovh9GvbjebTrx9v8Rv69XL6dUa/Hu6Io+2XI9Gvh8rs1w92Lf16nCEfDvp1puFLRfp1XU6/rm7xiPXo17durF+b+Oaxo1+bqI9gyLu/pF8Pp1/bbjSffn33Zk3o18vp1xn9ejj92naj+fTruzdrQr9eTr/OdNOvj7+WYzp0u9/L6deyZv16qCMS16812/r4DurXJj7r1yGn4kcf/Tqt1VnF5mejX9tuNJ9+ffdmTejXy+nXme779fnr0epSfr2yi4uLi8vNL+eXQli/KlcXFxcXl9aXq0ohqV9VrIuLi4vLAZfbn78O/dx9c+YqhCBCCCKBFAr92jFzFUIQIQSRQAqFz+cAQHuX9esr+hWAAehXAGhPv3bMXIUQRAhBJJBCoV/PsPpK8/fenatXYzhibLcy5E7bI0EkkELRTb8+Jja+feOdydvrrOyYD6ro4/aajWo51Olc1dzxn+XLr9b0rg7e4IASQhAJpFD01K+r/9+42a5zyrJhv26ss75fv18OwK7u+3V2Sje9urrw1TpfrXC5zlebe744QfzgW2aD356Bja9ub2t5QvzBZC5XAsBzgH6dLVzebOMbH//aXeHG2qbtWznyjW95Pldq9YMZWP3S7rRs3Oat6QW4s576dbUIZ8vf7dfdDb3br6srfPdbpss3zhRnc7V6f5f3ZWNaPphM/fr0glMMQSSQQtFTv87+s/r/L/t1t//O6dfHwnNtBrb79dW2vulO/brKASWEIBJIoeivX58VFbK95NXV3W/fWFvzfl1eXX7vcq5qtqVfm3NACSGIBFIouuzX6dXZSV5Zsnqb7XVur3C5/tUv1Yz8g2/ZmIGaba0268Y9rZ9M/Qqwqpt+BYCO6FcAaE+/dsxchRBECEEkkEKhXztmrkIIIoQgEkih0K8dM1chBBFCEAmkUOhXAGhPvwJAe236dfsjnpVLdgcEAL1o0K/L4pz9v2ZJzYCYMVchBBFCEAmkULQ/f9WvpzFXIQQRQhAJpFDo11M9/nt8fylr252rJptzcXFZXpaPL484l+Xl5cH5jdpo2q8/xlvSMLOarV++Y7m4uLi4PNc4f23s0LSO25yLi8vysnyIedC5LC8vj89vNId+rbA747tm56lHbw74MXs0/TwMZ08aTZe89VBd9f0aliucXl3eo66PvbPBz57VWz7Jd8mopt57//CsMj9Ysjug3jXv1+250q+nGXin7ctxQfy84DLb0PJFmVdXP9viof26vEetNnfJw2HYfm1r4EOVfh3VwDttXw7t1+367LFf2w741YbOUXPv9OvIh6oz+1W5nmngnbYv1/Zr29NB/frNRvXrulEPVU0Kr34X0a/Q0PJ4PXtwNX85s99+vUTNjzv6Vb9u0a9widlDb/n4cv56rdngV3/c0a/6dYt+hUvsnr82ryv9+hbnr1W6znjDEf26FZ5+PdGoO213jgtit43066sNnaPm3unXMQ9Vrdqusl+V68mG3Gl7pF+3V7ixfv16wqim9Gsz+nVsQ+60PdKv2yvcWL9+PWFUU/q1mYP69ejNAT9+7719Sb9eS79W6TrjV/QrdG334ze7Bfyu8/u16yOGfq0yXr/W/K7nSvoVLrFbn71//rX3g4Z+rTJwv36/quVOc+jmqDTeTtup44LYfTbV+eurDZ1Dv1YZ71ClX4c33k7bqTP7dYDPvw7/+/1nV/XrgIcq/Tq88XbaTp3Wr6u/v6mvfm3+hParDZ1Dv1YZ71B1XL8evTngh/PXcPq1StcZL7VtO/0Kl9itzx77te2Ar6Vfq3Sd8dLJ/apc4Qj6NZx+rdJ1xkuH9utyrvTrJQbbaft1XBB36NfB3j/s9/uvGOxQpV/vYLCdtl/6dXuFG+tv+zaR71fy5Ub9fbp1gx2q2radfs002E7br0P7dff3I3b3+dfZgJ2/Hj2qKf36reZtt7uL6Fc4wu6nWZY3+HKLR/frcZ/PuUTN0wn6Vb9u2d5FlCsc5IPz1++3ePL5a9fHXv1apeuMZ/QrjGH1eL19g7Zb/F5NAzXc3Mn0a5WuM545ul+3n/DhNCPttF07LojlQ2/390u03eL3TuvXSx4O+rXKMIeq0nb6dXjD7LS9O61fa34/Ytstfk+/6tdxDlVHtJ1+zTTMTts756/bK9xY/3j96v3DK4Y5VJ3QrydsEXh6/TXe9smGfv2j64ynTu5X5QrHuUO/dn30cP5aZYx+Pajt9CtcYsh+nR4uej+A1Jyd61f9umXjMdz7w6NrY+y0AzguiNXzoe0bfL/FQ/t1+QzqYL+/Sb+uGONQpV9vZYyddgDHBTHe72/a/Ymh1YbOoV+rjHGo0q+3MsZOOwDnr9sr3Fi/fj1hVFP69UPHVd2rXUS5wqF222jjZ98mW/zeaf16iZqzc/2qX7foV7jEso18/jXKbPA+n7Ou64x/6FcYzOyhN+Tvb+r6AOL8tYp+3fDqMaxfrzXATjuG44IY/vy14THkkodDzdm5fu3+UHVo1enXTL3vtMM4s193D+htt/i93TM8n885elRTH87141+zhcub1Q+oC/r1hnrfaYehX7dXOL26+4mjVhs6x436dWPJz/+XS2oG1IUz+/WELQLPK/q11UperW15/tr1sVe//v//+vUz+hUuUdOvbT//2molr9a2e4/6cqN+XT45PP3q6pKaAeU7uur0K1xit42a//6mVit5tbbh+3X89w+/atPtft390SN2SXmMHbSt3xPPv+G9+qjA5bNxnyW/FwGljdCS75dsfJhydoNWW/89cfQ9PXNbRyyZ3ZHpUfHVbU4Y4fRLM5f16/fbvdCh55HLLJ/OXwP0vtMO47ggdt8NNFsS+EGX5YBnVwd7//CY5681bapfP6NfM/W+0w7juCCWx+uNz7+2ekie2a8+/3rCqKY+n+iaT+MM+fmc819/Va5wguXp6fbvbwosquWhY/bVrg8jN+rXb/TbrydUnX6FSyyP10f//qZWK1ld2+7PB93Rr1W6zli/wpBWj9fbN2iy0e9X8mpt2z8fdGf3xx39+nz23K+l6k57fvj3v2+T4yr97rSDOS6Imn7t7vOvs6utNnf+w2H1dHzM9zd9qdND1Qnl+tSvqTrdacdzYb/2+PnX2dV++/W5OH9dfb+3fu3yUDX92OuZ/apcQ/S40w4p5/w1//1Ng/Xr7tMJ+vX57PNQNT15PfP5Yf0K56jp17Kkx8/nHH1ucLTtHxf06x/d9eu0Vp2/wpBWz4dmN5g9Npts9PuVvFrb9vPb3dGvVfrt15/89CuM593f39TkOHZovw7/+dfZVf36fPbWr8uTV88P31BfO+3Ajgvi3fPX8H499POvlzwc9GuVvg5V093U+ett9bXTDuzQfp3VZ9e/X+J55OdfE/p19excv/Z0qJq9oemEJ1imjwHlmqOjnXZsp/Xr7vlffr9un3833NA5Zm/enqVz1dFSv35ultnJn3/Vr3Ca8c5ft6/2ZbVQpzdw/vpHLzEvP43j/BVGtazPZT/1/vnXhts637JQZ1e9/vp89hPzoW8QeEW/wiV2n02dPh47/fxrw22dr+bZb/3aR8yrv0pCv95WFzvtHRz6+uvs6mDnrw2PJJc8HPRrlS4OVavd5vnh2+pip72Da/u1+UgO7dfj3v6jX18NY0q/rls9eX2e+/4m5Rolf6e9icH6te0DfDqk3TcEtdrQafRrlfxD1atuO/P8Vb/CmXY/Ldq8X5s/xrefEM4/8G5bnu1Mr+rXP8JjfnXy+tSvMKiaN1v0df66e7Uvux+V1K9/hMe8UWyeH4ZR7b7ZorvXX0fq16fz10r5Mb9qNeevt5W/097Eaa+/rp4hNR9Jp/3q9ddXw5jSrys2iu20fi1jCJ+r+xBEiDPf37R7wtR8o23Xpl9PoF/fsH3WeNrzw/o1jSBCnNmv0yUHvR33zH71/uEj6Ndau612/vnrodsCiu1+fR7zcdJD+/W4z79eQr9WyezX6duGc85fj9sQMLXbr0ecDrZ9jG8Xau/Hk+35169/BPbrrFxzXn89dFtAsftqZfOXM9s+zHcLNfDA+5bdnx706/OZF/OsUzdK9Jx+nY4nba5uSxAhznz99d0bfOC489fnWO9v2v7p4cIDpn7dsjxh3fgh6Jznh2dlf9y2qCeIEIP165nvb+q6X597Pz04f/0j51C1+mxwzvnrM2mubk4QIfRr/doG61fvb6qScKjaeKl14yT1hBdEvfgKl9j+tOtTv15Nv1a5PObt9zG9Okk9p/b0K5xv9qB79ZP39Kp+PZl+rXJtzDVvEt743iOH9mfr+hXOt92mqy8kfb/RM/u190OKfq1yYb9uN2u5zQdfamX5Zqujt0gNQYS4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" width="320" /></a></td></tr>
<tr><td class="tr-caption" style="text-align: center;">Figure 3: Static IAR with GPS+Galileo </td></tr>
</tbody></table>
Note the 12 satellites above the 10° elevation mask used in the computation of carrier ambiguities :)<br />
<br />
Understandably, Skytraq is working on GPS+Beidou carrier phase and I may publish some results on that too although visibility of Beidou MEOs is not great from here.<br />
<br />
In the meantime, for people who wonder where uBlox NEO6T stands in terms of GPS carrier phase noise in similar conditions to the above here it is my result:<br />
<table align="center" cellpadding="0" cellspacing="0" class="tr-caption-container" style="margin-left: auto; margin-right: auto; text-align: center;"><tbody>
<tr><td style="text-align: center;"><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjZZefslM73RKY3rdvv7IXhTYhI4hOn2PzBcTYenp8njz8Rg4OUjaTfxUc5VtSSsmMg87dhPmLlHJAknH5DTFhT2Bfd4ENI3DaQwuNI7R3EFC6jrs85sjKUcmjFeVgSV9COCbDU1KThoss/s1600/UBX_140.png" imageanchor="1" style="margin-left: auto; margin-right: auto;"><img border="0" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjZZefslM73RKY3rdvv7IXhTYhI4hOn2PzBcTYenp8njz8Rg4OUjaTfxUc5VtSSsmMg87dhPmLlHJAknH5DTFhT2Bfd4ENI3DaQwuNI7R3EFC6jrs85sjKUcmjFeVgSV9COCbDU1KThoss/s1600/UBX_140.png" height="240" width="320" /></a></td></tr>
<tr><td class="tr-caption" style="text-align: center;">Figure 4: GPS double differences in static zero-baseline (uBlox NEO6T)</td></tr>
</tbody></table>
Which shows similar noise levels to NV08C-CSM.Michelehttp://www.blogger.com/profile/03657889163945060210noreply@blogger.com4tag:blogger.com,1999:blog-5679825113811261335.post-57340970450574028392014-05-12T14:30:00.001-07:002014-05-12T14:30:50.664-07:00GNSS carrier phase, RTLSDR, and fractional PLLs (the necessary evil)A mandatory principle when processing GNSS -in order to have high accuracy carrier phase- is to have a well defined frequency planning. This entails knowing precisely how the Local Oscillator (LO) frequency is generated.<br />
With RTL-SDR it is not a trivial task given that both R820T and RTL2832U use fractional Phase Locked Loops (PLLs) in order to derive respectively the high-side mixing frequency and the Digital Down Conversion (DDC) carrier.<br />
I guess most people use RTL-SDR with a 50ppm crystal so the kind of inaccuracies I am going to describe are buried under the crystal inaccuracy ..within reason.<br />
<br />
Let us start from the common call<br />
<br />
<i><span style="font-family: "Courier New",Courier,monospace;">&gt; rtl_sdr -f 1575420000</span></i><br />
<br />
This means "set to 1575.42 MHz" but what is hidden is:<br />
1) R820T, set to 1575.42e6 + your IF<br />
2) RTL2832U, downconvert the R820T IF to baseband<br />
.. there are approximations everywhere.<br />
<br />
Now, the R820T has a 16 bit fractional PLL register meaning that it can only set to frequencies multiple of 439.45 Hz (exactly).<br />
Instead, the RTL2832U has a 22 bit fractional PLL register meaning that is can recover IFs in steps of 6.8665 Hz (exactly).<br />
Of course, nor 1575.42e6, nor 3.57e6 are exact multiples of either frequency so one always ends up with a mismatch between what he/she thinks he has set, and what really ends up with. Most of the times, this is fine. For GNSS it is not since carrier is accumulated over long intervals and even a few tenths of Hz will make it diverge from the truth.<br />
So I went down the route of characterising the necessary evil of fractional PLLs.<br />
<br />
The first test I did was to set the tuner to 1575421875, which leads to a -1875 Hz center frequency but is nicely represented in 16 bits using a 28.8 MHz reference (remember the R820T). In fact, 54 + 0.7021484375 = 54 + [1011001111000000]/2^16. ..ok well actually it fits on 10 :)<br />
<br />
Here I found a small bug in the driver and replaced the following messy (IMHO) code:<span style="font-size: x-small;"><span style="font-family: "Courier New",Courier,monospace;"> </span></span><br />
<br />
<span style="font-size: small;"><span style="color: purple;"><span style="font-family: "Courier New",Courier,monospace;">/* sdm calculator */<br />while (vco_fra > 1) {<br /> if (vco_fra > (2 * pll_ref_khz / n_sdm)) {<br /> sdm = sdm + 32768 / (n_sdm / 2);<br /> vco_fra = vco_fra - 2 * pll_ref_khz / n_sdm;<br /> if (n_sdm >= 0x8000)<br /> break;<br /> }<br /> n_sdm <<= 1;<br />}</span></span></span><br />
<br />
<span style="font-size: small;"><span style="font-family: inherit;">with </span></span><br />
<br />
<span style="font-size: x-small;"><span style="font-family: "Courier New",Courier,monospace;"><span style="font-size: small;"><span style="color: blue;">mysdm = (((vco_freq<<16)+pll_ref)/(2*pll_ref)) & 0xFFFF;<!--16--></span></span></span></span><br />
<br />
Then I modified the IF of the R820T from 3.57 MHz to 3.6 MHz, as it is only a few kHz away and it is nicely represented on 16 bit ..ok well it actually fits in 3 :)<br />
Modifying the IF also impacted the RTL2832U fractional register of course. <br />
I still had a significant error (about 115 Hz) which I could measure comparing the scaled code rate and the carrier rate (which should be proportional of a factor 1540).<br />
After a long time wondering what could be happening, I decided to start tweaking the bits of the R820T.<br />
One in particular called <i>PLL dithering</i> seemed suspicious. Disabling it kind of doubled the error to about 220Hz. Sad.. but I did recall now the resolution of the tuner (439.45 Hz) and guessed that there is a hidden 17th bit which toggles randomly when "dithering" and is instead fixed to 1 when "not dithering". A couple of references which could explain why are here:<br />
<a href="http://petrified.ucsd.edu/~ispg-adm/pubs/KWangDissertation.pdf">http://petrified.ucsd.edu/~ispg-adm/pubs/KWangDissertation.pdf</a><br />
<a href="http://www.ece.rochester.edu/users/friedman/papers/ISCAS_04_PLL.pdf">http://www.ece.rochester.edu/users/friedman/papers/ISCAS_04_PLL.pdf</a><br />
<br />
How sneaky! But I could nicely recover that 17th bit with the RTL2832U (which has 22).<br />
So I have now rock-solid code-carrier assistance ^_^<br />
<table align="center" cellpadding="0" cellspacing="0" class="tr-caption-container" style="margin-left: auto; margin-right: auto; text-align: center;"><tbody>
<tr><td style="text-align: center;"><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhWr3l_l6f_Wp25U1P863jtgMDz-WeHlOvGKKk4dYP9km-wqjpHXuxOmuoBYS8S6d4lSZmFpJZp9h-kfbUMZ-BCg1f59_KC5Fpl-RuG4hQmQV6d5FcG6D4nTHeSGoB2lZRRDUBysMTFjG4/s1600/code-carrier.png" imageanchor="1" style="margin-left: auto; margin-right: auto;"><img border="0" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhWr3l_l6f_Wp25U1P863jtgMDz-WeHlOvGKKk4dYP9km-wqjpHXuxOmuoBYS8S6d4lSZmFpJZp9h-kfbUMZ-BCg1f59_KC5Fpl-RuG4hQmQV6d5FcG6D4nTHeSGoB2lZRRDUBysMTFjG4/s1600/code-carrier.png" height="240" width="320" /></a></td></tr>
<tr><td class="tr-caption" style="text-align: center;">Figure 1: Code-carrier mismatch when tracking a satellite with RTL-SDR</td></tr>
</tbody></table>
One step closer to integer ambiguity resolution?<br />
<br />
Cheers,<br />
MicMichelehttp://www.blogger.com/profile/03657889163945060210noreply@blogger.com4tag:blogger.com,1999:blog-5679825113811261335.post-51092701584923326162014-03-24T15:49:00.001-07:002014-04-27T06:50:53.779-07:00R820T with 28.8 MHz TCXOI recently looked around for tools to use as low cost spectrum scanners, being the objective frequency range 400 MHz to 1.7 GHz (incidentally, DVB-T and GPS).<br />
Of course rtl-sdr is an attractive option so I dusted off some dongles I had bought 6 months ago in China and played again with them, coming to the conclusion that I really like it especially after its main limitation is overcome :)<br />
<br />
The 28.8 MHz crystal is quite poor. I asked <a href="http://blog.goo.ne.jp/osqzss/c/a2ee4231ddbe2e470c84473367146256" target="_blank">Takuji </a>for a TCXO but he said he emptied his stock rapidly. Of course a replacement is nowhere to be found on the big distribution (Digikey, Mouser, Farnell, RS, etc..), so I went to an old time acquaintance at <a href="http://www.golledge.com/docs/products/tcxos/gtxo92.htm" target="_blank">Golledge</a> and, despite having to order 100 pieces, my request was fulfilled. After all, dongles look quite good with the new crystal:<br />
<table align="center" cellpadding="0" cellspacing="0" class="tr-caption-container" style="margin-left: auto; margin-right: auto; text-align: center;"><tbody>
<tr><td style="text-align: center;"><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhNXmPNuU4bDDv8ZpmBBnvcQKkk-0rsCnfopsl5cfStgvGpoJTpy8J3zYVBWkztN8zdWniK5qE_OtDAuDEgHO0WyMgUZHzRbgU5bom_hMIPT_Bt72GvHmvu70NJxPW65a7MH1oq2tt7_Jg/s1600/rtlsdr1.jpg" imageanchor="1" style="margin-left: auto; margin-right: auto;"><img border="0" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhNXmPNuU4bDDv8ZpmBBnvcQKkk-0rsCnfopsl5cfStgvGpoJTpy8J3zYVBWkztN8zdWniK5qE_OtDAuDEgHO0WyMgUZHzRbgU5bom_hMIPT_Bt72GvHmvu70NJxPW65a7MH1oq2tt7_Jg/s1600/rtlsdr1.jpg" height="213" width="320" /></a></td></tr>
<tr><td class="tr-caption" style="text-align: center;">Figure 1: RTL-SDR with 28.8 MHz TCXO (Golledge GTXO-92)</td></tr>
</tbody></table>
<br />
<div class="separator" style="clear: both; text-align: center;">
</div>
I measured the frequency deviation with my simple GPS software receiver and I happy to report that it is within spec, bounded to 2ppm. By the way, I tried using other GNSS software receivers and will write about my experience in another post soon.<br />
<br />
On the frequency plan side, the <a href="http://www.rafaelmicro.com/downloads/R820T.pdf" target="_blank">R820T </a>combined with the <a href="http://www.realtek.com.tw/products/productsView.aspx?Langid=1&PFid=35&Level=4&Conn=3&ProdID=257" target="_blank">RTL2832U </a>is great for GPS. Most people would use it with an active antenna, where the LNA solves the problem of losses due to the impedance mismatch (50 against 75 ohm) and the noise figure of the tuner (3.5 dB according to <a href="http://superkuh.com/gnuradio/R820T_datasheet-Non_R-20111130_unlocked.pdf" target="_blank">datasheet</a>).<br />
The frequency plan with an IF of 3.57 MHz solves elegantly the problem of LO feedthrough and I/Q unbalance typical of ZIF tuner. The IF is recovered automatically in the digital domain by the demodulator so it does not appear in the recorded file. 8bit I/Q recording at 2.048 Msps is more than sufficient for GPS and I also tracked Galileo E1B/C with it (despite some obvious power loss due to the narrow filter band). In my tests, I used a Dafang technology <a href="http://www.df-tech.com/en/glonass.html" target="_blank">DF5225 </a>survey antenna and the signal time plot shows that 5 bits are actually exercised. I powered the antenna with 3.3V from a Skytraq Venus8 (Ducat10 with <a href="http://www.skytraq.com.tw/news/news2013Aug22.html" target="_blank">S1216F8</a>) through an all-by-one DC blocked passive 4-way splitter/combiner (6 dB unavoidable loss) from <a href="http://www.etlsystems.com/categories/741-l-band-splitter-l-band-combiner-passive-4-way" target="_blank">ETL-systems</a>.<br />
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<a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgKAq7tebQHFRrwfWKbk4chTQQy1v0Qg5fbGfoyY5Eh0NZ5HSxB3N_KukXDr7k89N4HUBVGhT_iDWjZpFP_Uuzug58oen-kw3BkreWOj-6rCPYf2yQfEjGKuyJKKN8ri4Fw9udb2PHy27M/s1600/rtlsdr_l1hist.png" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"><img border="0" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgKAq7tebQHFRrwfWKbk4chTQQy1v0Qg5fbGfoyY5Eh0NZ5HSxB3N_KukXDr7k89N4HUBVGhT_iDWjZpFP_Uuzug58oen-kw3BkreWOj-6rCPYf2yQfEjGKuyJKKN8ri4Fw9udb2PHy27M/s1600/rtlsdr_l1hist.png" height="240" width="320" /></a></div>
<table align="center" cellpadding="0" cellspacing="0" class="tr-caption-container" style="margin-left: auto; margin-right: auto; text-align: center;"><tbody>
<tr><td style="text-align: center;"><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEisAKLEMyckOCG_oCiAghEIVgdlQqaTqSYHpXqclbnFYlBKUBArQWFW9-8nOz1mVO2aN5SM64tbbfn_YpkezxAD27pw8UdMCNBbTLIKv_JosdYUHxyZ4Y0wnNCbh-GokwafR4uGTr1T4HI/s1600/rtlsdr_l1timeser.png" imageanchor="1" style="margin-left: auto; margin-right: auto;"><img border="0" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEisAKLEMyckOCG_oCiAghEIVgdlQqaTqSYHpXqclbnFYlBKUBArQWFW9-8nOz1mVO2aN5SM64tbbfn_YpkezxAD27pw8UdMCNBbTLIKv_JosdYUHxyZ4Y0wnNCbh-GokwafR4uGTr1T4HI/s1600/rtlsdr_l1timeser.png" height="240" width="320" /></a></td></tr>
<tr><td class="tr-caption" style="text-align: center;">Figure 2, 3 and 4: Power spectrum, histogram, and time series at L1.</td></tr>
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I posted three GPS files here:<br />
<a href="https://app.box.com/s/wxizs3p7zu8x2jmbnzod">https://app.box.com/s/wxizs3p7zu8x2jmbnzod</a><br />
<a href="https://app.box.com/s/xvfabkqfkmehg5osa3ra">https://app.box.com/s/xvfabkqfkmehg5osa3ra</a><br />
<a href="https://app.box.com/s/dqrel15mwj73xijflkma">https://app.box.com/s/dqrel15mwj73xijflkma</a><br />
<br />
Since someone asked for it, here are the tracking results of Galileo E19 plotted after the fact with Matlab:<br />
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and Galileo E20:<br />
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More to come later,<br />
Michele<br />
<br />Michelehttp://www.blogger.com/profile/03657889163945060210noreply@blogger.com17tag:blogger.com,1999:blog-5679825113811261335.post-13237247629749319682013-12-29T14:43:00.001-08:002013-12-30T00:52:37.552-08:00Wrapping up 2013 GNSS facts Well, it has indeed been quite a long time since I wrote here the last time.<br />
My personal situation has changed in such a way that it is hard to find the time to share my views and to comment your feedback on current advances in the GNSS R&D domain.<br />
However I feel like dropping here an "end of the year" summary which serves more as a memorandum to me that anything else.<br />
I might be challenging this article<br />
<a href="http://gpsworld.com/2013-a-positive-year-for-location-industry/">http://gpsworld.com/2013-a-positive-year-for-location-industry/</a><br />
but 2013 has not been a very good year for GNSS.<br />
At least someone generally agrees:<br />
<a href="http://qz.com/161443/2013-was-a-lost-year-for-tech/#!">http://qz.com/161443/2013-was-a-lost-year-for-tech/#!</a> <br />
<br />
<span style="font-size: large;"><b><span style="font-weight: normal;"><b>Mass market receivers for low cost RTK</b></span></b></span><br />
Lately there was one more item on the acquisitions list:<br />
<ul>
<li><a href="http://investing.businessweek.com/research/stocks/private/snapshot.asp?privcapId=22637941" target="_blank">CSR buying Nordnav</a> in 2007, </li>
<li><a href="http://www.reuters.com/article/2007/12/13/atheros-unav-idUSN1326222220071213" target="_blank">Atheros buying u-Nav</a> in 2007, </li>
<li><a href="http://uk.reuters.com/article/2007/06/12/globallocate-takeover-broadcom-idUKN1224497320070612" target="_blank">Broadcom buying Global Locate</a> in 2007, </li>
<li><a href="http://www.reuters.com/article/2009/02/10/us-csr-idUSTRE51921320090210" target="_blank">CSR buying out SiRF</a> in 2009, </li>
<li><a href="http://www.reuters.com/article/2011/01/05/atheros-qualcomm-idUSN0526320120110105" target="_blank">Qualcomm buying Atheros</a> in 2011, </li>
<li><a href="http://www.reuters.com/finance/stocks/UBXN.S/key-developments/article/2632795" target="_blank">uBlox buying Fastrax</a> in 2012,</li>
<li><a href="http://www.reuters.com/article/2013/08/27/us-mediatek-mstar-merger-idUSBRE97Q0G420130827" target="_blank">Mediatek buying MStar</a> in 2012 </li>
<li><a href="http://www.reuters.com/article/2013/05/28/us-stericsson-gps-idUSBRE94R0SO20130528" target="_blank">Intel buying ST-Ericsson GPS business</a> in 2013.</li>
</ul>
The above shows how aggressive this market is and leaves just a few players on the field.<br />
Some of them, such as Intel, Qualcomm and Broadcom don't really sell to private and just target device manufacturers. Others have shelves as well and those are the most interesting for people thinkering with GNSS of course.<br />
In no particular order:<br />
<br />
<b>Mediatek</b><br />
Early in 2013 Mediatek announced <a href="http://www.mediatek.com/_en/03_news/01-2_newsDetail.php?sn=1094">MTK3333</a>. This powerful true dual constellation receiver can be found in many modules (for example by <a href="http://www.locosystech.com/product.php?zln=en&id=96" target="_blank">Locosys</a> and <a href="http://www.gtop-tech.com/en/product/Gmm-g3-GPSGLONASS-Module/GPS_Modules_Gmm-g3.html" target="_blank">GlobalTop</a>. Although impressive, it does not seem to offer pseudoranges or carrier phase at the moment.<br />
<br />
<span style="font-size: small;"><b>uBlox</b></span><br />
IMHO, uBlox has a confusing roadmap with <a href="http://www.ublox.com/en/gps-modules/pvt-modules/previous-generations.html" target="_blank">6th generation</a> modules overlapping with <a href="http://www.ublox.com/en/gps-modules/pvt-modules.html" target="_blank">7th generation</a> and now apparently <a href="http://www.ublox.com/en/gps-modules/u-blox-6-timing-module/lea-m8f-precision-timing-gnss-module.html" target="_blank">8th generation</a>. I design with uBlox modules and it is a little awkward to tell my customers that modules already advertised for are due for release in 6 months. The Company has done an aggressive marketing of a "PPP" technology that has nothing to do with Precise Point Positioning, but rather with carrier phase smoothing. uBlox still manages to sell navigation modules which are not <i>true dual </i>constellation but <i>either one or the other</i> constellation. Their "P" and "T" modules have well established pseudorange, carrier phase and more measurements <u>for GPS</u>.<br />
<br />
<b>ST-Microelectronics</b><br />
STM has released in 2013 the TeseoII <i>true dual </i>constellation IC. The <a href="http://www.st.com/web/en/catalog/sense_power/FM1934/catalog/mmc/FM1934/CL1942/SC612/PF253156" target="_blank">STA8088FG </a>is 7x7 mm and is very capable. Pseudoranges can be obtained with some firmware, but never carrier phase. Carrier phase is rumored to be available in Teseo3, which is to be released next year. STM is more open to Galileo than any other Company, but it is weird to find their GNSS products under "Automotive Infotainment and Telematics" category.. not that STM website is an easy one to navigate anyway.<br />
<br />
<b>NVS</b><br />
NVS continued to innovate in 2013 by releasing new FW for their NV08C-CSM and -MCM modules. However, after the <a href="http://www.nvs-gnss.com/news/79-rtklib-open-source-gnss-precise-positioning-software-package-now-supports-nvs-technologies-nv08c-receiver-series.html" target="_blank">press release</a> of compatibility with the popular precision navigation software RTKLIB, they went quiet. By the way, I wrote the support driver for their receiver into RTKLIB but never received a mention.. you are welcome. Next year NVS will release a new hardware revision of their modules, but nothing is told about changes to expect against the current. I have high expectations :)<br />
<br />
<b>Geostar Navigation</b><br />
This Company was pretty new to me and <a href="http://zeptobars.ru/en/read/glonass-geos3-K1905VM1JA-progress-saphyrion" target="_blank">came as a surprise in 2013</a>. It offers a <i>true dual</i> GPS+Glonass <a href="http://geostar-navigation.com/en/navigation_06.html" target="_blank">receiver module</a>. In my opinion has still to improve in terms of reliability but the preconditions are all good (website is updated often so at least the Company seems well up and running). Rumors want Geostar-Navigation to release a pseudorange and carrier phase capable firmware (for GPS at least) very soon.<br />
<br />
<b>Furuno</b><br />
Furuno came back in 2013 with a <i>true dual</i> constellation chipset called <a href="http://www.furuno.com/en/business_product/gps/product/chip/comparison.html" target="_blank">eRideOPUS 7</a> and module called <a href="http://www.furuno.com/en/business_product/detail/gps/index.php?prdcd=GN-87F&category=Automotive&business=gps&series=" target="_blank">GN-87F</a>. The Company has expressed interest in releasing Galileo compliant firmware soon and the chip seems to be able to output pseudoranges, but not carrier phase.<br />
<br />
<b>CSR</b><br />
CSR has finally delivered <a href="http://www.csr.com/products/sirfstarv-5e" target="_blank">a new standalone receiver IC</a>, the <a href="http://www.csr.com/news/pr/2013/r0236-sirfstarv-5e-launch" target="_blank">SiRFstarV 5e</a>. I bought the Telit <a href="http://www.telit.com/en/products/satellite.php?p_id=275&p_ac=show&p=139" target="_blank">Jupiter SE868 V2</a> (quite a mouthful) evaluation kit from Rutronik. I still did not have a chance of testing it out in real environment but it does track simultaneously GPS, SBAS and Glonass. The chip seems to be very swift and surely has best in class power consumption, but SiRF already departed from raw measurements path with their 3rd generation so I would not expect them to be back on that track now.<br />
<br />
<b>Skytraq</b><br />
Last but not least, Skytraq was among the first ones to release a <i>true dual </i>constellation chip and module with the intention of supporting raw measurements. I bought some <a href="http://www.onetalent-gnss.com/gnss-chips/skytraq_s4554gns-lp" target="_blank">S4554GNS-LP</a> back in 2011 already. Since then the Company has made a great progress in integration and quality of modules. The latest generation, the <a href="http://www.skytraq.com.tw/news/news2013Aug22.html" target="_blank">Venus8</a>, has GPS 50Hz measurements, or GPS+Glonass at 20Hz. As all new modules comply with the uBlox NEO format, I already had a chance of integrating some <a href="http://www.onetalent-gnss.com/ideas/usb-hw-receivers/ducat10" target="_blank">S1216F8, S1216F8-GL and S1216F8-BD</a>. Whilst not tested in the field but "only" with an Agilent GNSS simulator, these modules represent for me the greatest promise for 2014.<br />
<span style="background-color: yellow;">All GNSS enthusiastics should check out the <span style="color: black;"><a href="http://www.skytraq.com.tw/news/news2013Dec23.html" target="_blank">NavSpark</a>:</span></span><br />
<span style="background-color: yellow;"><span style="color: black;"><a href="http://igg.me/p/603168/x/5902022">http://igg.me/p/603168/x/5902022</a></span></span><br />
<span style="background-color: yellow;">Although I am not a crowdfunding enthusiastic (see later as well) the news is that it is possible to get at least an evaluation kit (with libraries) for this powerful baseband processor for <a href="http://www.skytraq.com.tw/A001.pdf" target="_blank">USD 199</a>. <span style="color: black;"><a href="http://www.dl9sec.de/venus6/venus6.htm" target="_blank">There is a lot of room to play for sure</a>, and 50Hz GPS raw measurements for less than USD 20 a module will buzz for sure.</span></span><br />
<br />
<span style="font-size: large;"><b><span style="font-weight: normal;"><b> GNSS Software Defined Radios</b></span></b></span><br />
<br />
Looking out for interesting devices to use for GNSS SDR, this year has been a promising one. But not all promises are kept, as I will explain below.<br />
<br />
<b><b>Memoto Camera</b></b><br />
<b><b><img height="203" src="https://s3.amazonaws.com/ksr/assets/000/217/033/30f83f75de2ab5067c12c850a369e122_large.png?1350655333" width="320" /> </b></b><br />
One year ago already, following the hype of the <a href="http://www.cell-guide.com/" target="_blank">Cell-guide</a> snapshot GPS technology, I decided for the first time to back a kickstarters project: <a href="http://www.kickstarter.com/projects/martinkallstrom/memoto-lifelogging-camera" target="_blank">the Memoto camera</a>. This "lifelogging device" has an Aclys chip inside which will only turn on for a few milliseconds every so often and record a GPS signal snapshot, in order to achieve the lowest possible battery life. After more than 1 year not only I did not received the camera but my contact has been lost in the <a href="http://letter.getnarrative.com/" target="_blank">transition from Memoto to Narrative</a>. Being my support request unanswered, it is hard to know wheter I have lost my pledge or not... fingers crossed.<br />
<br />
<b>Jawbreaker -> HackRF One</b><br />
<b><img height="240" src="https://s3.amazonaws.com/ksr/assets/001/381/744/68b799037e0e047aebb466bc76e60416_large.jpeg?1385500591" width="320" /> </b><br />
<a href="http://ossmann.blogspot.it/" target="_blank">Michael Ossmann</a>, creator of the Ubertooth, started developing other interesting devices for low cost SDR. I missed by very little the <a href="http://ossmann.blogspot.it/2013/05/giving-away-hackrf.html" target="_blank">Jawbreaker giveaway</a> back in June, so I decided to support its <a href="http://www.kickstarter.com/projects/mossmann/hackrf-an-open-source-sdr-platform" target="_blank">Kickstarters campaign for HackRF One</a>, which is essentially the same object but not free and with 8 months more on its shoulders. Whether this time has actually served to real innovation or just made Michael more popular (at least well deserved in his case) and <a href="https://twitter.com/michaelossmann/status/364219462347534336" target="_blank">rich</a>.<br />
My plans of using HackRF One for GNSS record and playback are a little pushed back by the fact that it is a half-duplex design, although I see some potential by properly hopping between TX and RX.If and when I receive the thing.<br />
<br />
<b>Nuand BladeRF</b><br />
<b><img height="213" src="http://www.nuand.com/blog/wp-content/uploads/2013/05/blade_new.png" width="320" /> </b><br />
<a href="http://www.nuand.com/bladeRF" target="_blank">BladeRF </a>was probably the greatest disappointment so far. It mounts<br />
<ul>
<li>the Lime Microsystems <a href="http://www.limemicro.com/products/LMS6002D.php" target="_blank">LMS6002D</a>, a fully programmable RF transceiver capable of full-duplex communication between 300MHz and 3.8GHz</li>
<li>an Altera Cyclone 4 with options at 40KLE or 115KLE </li>
<li>a Cypress FX3 microcontroller</li>
</ul>
Sounds like the perfect board to have a <a href="http://blog.goo.ne.jp/osqzss/e/7f443dfbe4463cd4d5d4c1e7a8b42542" target="_blank">GNSS receiver on FPGA</a>, and a real-time continuous-time record and playback device. I received the boards back in Summer and was never really able to have them working reliably. I installed the Ubuntu several times, until now 13.10 seems to have native support at least for the libusb version they link to. Things might change tomorrow, but it has been six months of bleeding so far. Essentially the software is not stable. BladeRF might even work as a 450 USD spectrum analyzer once you install a leviathan like Gnuradio. But it won't work for me if it misses packets once in a while, if it randomly switches the I and Q channel, if it cannot tune to 1.5GHz in TX mode, if it works only with Renesas and NEC USB 3.0 hosts.<br />
<br />
<b>SwiftNav Piksi</b><br />
<b><img height="184" src="http://hackadaycom.files.wordpress.com/2013/08/back.jpg" width="320" /> </b><br />
Two bright guys, Fergus Noble and Colin Beighley founded <a href="http://swift-nav.com/piksi.html" target="_blank">Swiftnav</a> and started developing Piksi, an "open source" GPS receiver for RTK implemented as a combination of a Spartan6 9KLE FPGA and STM32F4 168 MHz Cortex-M4 MCU. Swiftnav "kickstarted" <a href="http://www.kickstarter.com/projects/swiftnav/piksi-the-rtk-gps-receiver/" target="_blank">Piksi </a>back in the Summer, when I already had a sample of it. Unfortunately once the campaign was funded (and I was one of the backers of course) there has been little development on the software side. Sure, more boards were manufactured to address sales but Swiftnav customers are not yet able to see how the <i><b>RTK engine </b></i>will look like, nor they have visibility of the <i><b>FPGA correlators</b></i> code.<br />
Actually those two are two valuable pieces of software so I cannot hide my sceptictism in believing the promised Open Source nature of the venture.<br />
Before I publish here anything about Piksi, I need to be provided a simple way of<br />
<ol>
<li>recording data with the board connected to a perfect antenna. </li>
<li>converting the recorded stream into Rinex OBS</li>
</ol>
IMHO, those two are the fundamentals when a Company plans to sell a RTK capable receiver. It does not have to be small, to be low power, to have an embedded antenna if carrier phase isn't rock solid to begin with. <br />
Very recently Swiftnav published a video (filmed in August, so why now?) where they show differential accuracy on the rooftop of their office building.. but that seems a very poor reward for three months of Github silence (<a href="https://github.com/swift-nav/libswiftnav/graphs/commit-activity" target="_blank">1</a>) (<a href="https://github.com/swift-nav/piksi_firmware/graphs/commit-activity" target="_blank">2</a>).<br />
I sent Fergus and Colin two pieces of the most recent Rap10LogWi release<br />
<br />
<br />
<div class="separator" style="clear: both; text-align: left;">
<a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgpmbTc7l1WzdJnrZqA6lWy90ZRyD4gJZn5FYI2aS-1vLGMtvYEig0WI4o3WjJH6WNd_gNTVWpFXkWb6dPd9wovGlDxLeY6dzWTBegUEfOqWFP_PSsPLOvvm-_ZWC8cosvX6lHE3B-wggo/s1600/newrap10logwi_small.jpg" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"><img border="0" height="150" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgpmbTc7l1WzdJnrZqA6lWy90ZRyD4gJZn5FYI2aS-1vLGMtvYEig0WI4o3WjJH6WNd_gNTVWpFXkWb6dPd9wovGlDxLeY6dzWTBegUEfOqWFP_PSsPLOvvm-_ZWC8cosvX6lHE3B-wggo/s200/newrap10logwi_small.jpg" width="200" /></a></div>
asking them to try their RTK engine (I used their same MCU) on a bullet-proof low cost GPS receiver as the <a href="http://www.u-blox.com/en/gps-modules/u-blox-6-timing-module/neo-6t.html" target="_blank">uBlox NEO6T</a>.<br />
I have not received any feedback so far.. I know they are busy investing their reward, but I think their customers (and I) need a bit of delivery of credibility at this point.<br />
<br />
<b>Ettus USRP B2x0</b><br />
<img alt="" src="data:image/png;base64,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" /> <br />
Probably the savior of my 2013 SDR hopes, the <a href="https://www.ettus.com/product/category/USRP-Bus-Series" target="_blank">B2x0 </a>boards from Ettus tick many boxes. They are a little expensive maybe, but they are supported by the UHD driver which has a huge community behind. How did Ettus manage to pull off a deal with Analog Devices and integrate first the super powerful <a href="http://www.analog.com/en/rfif-components/rfif-transceivers/ad9361/products/product.html" target="_blank">AD9361</a> I don't know. The <a href="http://www.ti.com/product/afe7070" target="_blank">TI AFE7070</a> came close sometime this year in terms of chip integration, and the above mentioned <a href="http://www.limemicro.com/products/LMS6002D.php" target="_blank">LMS6002D </a>(with its awkward footprint) even closer, but that ADI chip seems unbeatable right now. The Spartan 6 75KLE seems also large enough to run several channels of a GNSS receiver already. I will have access to a couple of these boards very soon and I cannot wait.<br />
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<i>...TBC</i><br />
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<br />Michelehttp://www.blogger.com/profile/03657889163945060210noreply@blogger.com11tag:blogger.com,1999:blog-5679825113811261335.post-4284589698253439792012-12-18T14:33:00.002-08:002012-12-18T14:33:15.228-08:00Fruit-Bat Tracking with Robin GPS LoggerI have recently received the results of an interesting experiment done with <a href="http://www.cell-guide.com/GPS-Logger-Solutions/robin.html" target="_blank">Robin</a>, Cellguide's <a href="http://www.cell-guide.com/images/stories/pdf/robin%20brochure.pdf" target="_blank">snapshot GPS tracker</a> so I thought I should share it with the Community.<br />
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<table align="center" cellpadding="0" cellspacing="0" class="tr-caption-container" style="margin-left: auto; margin-right: auto; text-align: center;"><tbody>
<tr><td style="text-align: center;"><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEiMcMJXa96kJRusKmHg1n0IYtLtekwFTUNNNdFCf2gfozazw-reMzpGzDbR7q9nj1PO-6HdOm9JCnAlk-29BdLXWnNnFxNUpLmZWOnuIAn0H8lhSdOBA8mRlOTSTIGnE8br-wfZqflhj7o/s1600/bat.jpg" imageanchor="1" style="margin-left: auto; margin-right: auto;"><img border="0" height="267" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEiMcMJXa96kJRusKmHg1n0IYtLtekwFTUNNNdFCf2gfozazw-reMzpGzDbR7q9nj1PO-6HdOm9JCnAlk-29BdLXWnNnFxNUpLmZWOnuIAn0H8lhSdOBA8mRlOTSTIGnE8br-wfZqflhj7o/s400/bat.jpg" width="400" /></a></td></tr>
<tr><td class="tr-caption" style="text-align: center;">Figure 1: Yes, a <a href="http://en.wikipedia.org/wiki/Megabat" target="_blank">fruit bat</a></td></tr>
</tbody></table>
Becuase of its size and weight Robin enables new applications of GPS technology, including wildlife tracking of course. Particularly of species on which was very difficult in the past.<br />
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<b>Test Setup</b><span lang="EN-GB"> </span></div>
<ul>
<li><span lang="EN-GB">CellGuide Robin GPS Logger with 100mAh battery (2.2 grams): total weight 4.75 grams</span></li>
<li><span lang="EN-GB">Programmed to operate every day between 5pm to 5am</span></li>
<li><span lang="EN-GB">Total length of the experiment: 72 hours</span></li>
<li><span lang="EN-GB">Operating regime: </span></li>
<ul>
<li><span lang="EN-GB">Fix
every 3 seconds </span></li>
<li><span lang="EN-GB">Medium sensitivity (GPS snapshot length of 128ms)</span></li>
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<span lang="EN-GB">The
test was conducted by researches from Tel Aviv University. They packed Robin in a light weight plastic wrap along with a UHF
beacon device, and attached everything to the bat using a special medical glue that only sticks for a few days.</span></div>
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<br /></div>
<table align="center" cellpadding="0" cellspacing="0" class="tr-caption-container" style="margin-left: auto; margin-right: auto; text-align: center;"><tbody>
<tr><td style="text-align: center;"><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjtgjiuYC9ht_e9861euH-mRsDRtZtEZyN5Sn-BaHhV7mnLSg0THSb3NKjSbgaYz7P9_aOM718wrlo7pbV-yv8yX7wL5l3BaRGpQzgokwXJjpVwkR47DgRgdg5XPn1Cak4iF8WaimWknFg/s1600/fruit+bat.jpg" imageanchor="1" style="margin-left: auto; margin-right: auto;"><img border="0" height="266" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjtgjiuYC9ht_e9861euH-mRsDRtZtEZyN5Sn-BaHhV7mnLSg0THSb3NKjSbgaYz7P9_aOM718wrlo7pbV-yv8yX7wL5l3BaRGpQzgokwXJjpVwkR47DgRgdg5XPn1Cak4iF8WaimWknFg/s400/fruit+bat.jpg" width="400" /></a></td></tr>
<tr><td class="tr-caption" style="text-align: center;">Figure 2: A picture of the fruit bat with Robin on the back.</td></tr>
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<tr><td style="text-align: center;"><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEiCSj5NXMw_TPgXTb4qPNRy9sVaVqZqrHxpzkCspMmixwawa3y0BIdeU7LpIEJGN3vSBn2vxHYPNJWUxmPccV98TqQH2LFbGhHOaH86sgFhK0Wx6JC7wzugWOsFF48Eie6dyj-zqrYuQm8/s1600/Test+Area.jpg" imageanchor="1" style="margin-left: auto; margin-right: auto;"><img border="0" height="382" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEiCSj5NXMw_TPgXTb4qPNRy9sVaVqZqrHxpzkCspMmixwawa3y0BIdeU7LpIEJGN3vSBn2vxHYPNJWUxmPccV98TqQH2LFbGhHOaH86sgFhK0Wx6JC7wzugWOsFF48Eie6dyj-zqrYuQm8/s400/Test+Area.jpg" width="400" /></a></td></tr>
<tr><td class="tr-caption" style="text-align: center;">Figure 3: The test area.</td><td class="tr-caption" style="text-align: center;"><br /></td></tr>
</tbody></table>
During the first night, the bat visited three other trees along its path. On the second night, the bat took a bit of a different path but still quite similar to the one from the previous night and flew to the same tree. Then, pretty much as the two previous nights, the bat flew to his favorite tree again.<br />
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<a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhvLtr6Jo7XtDUXosExmpiJdyG5_FuOZw03wEJvtMN3LV5Hz7-gkZjCJKqJDzdFKY-E3FOicLUOzc4sYCsVMda2bN6HMtzkyjqr8KWqn9WzfVMXcOArqc6UVMPWtPU8EDxsnfyCa6sJ8Fo/s1600/third+night.jpg" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"><img border="0" height="200" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhvLtr6Jo7XtDUXosExmpiJdyG5_FuOZw03wEJvtMN3LV5Hz7-gkZjCJKqJDzdFKY-E3FOicLUOzc4sYCsVMda2bN6HMtzkyjqr8KWqn9WzfVMXcOArqc6UVMPWtPU8EDxsnfyCa6sJ8Fo/s200/third+night.jpg" width="185" /></a></div>
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<span style="font-size: x-small;"> Figure 4: From left to right: <b><span style="color: #274e13;">first</span></b>, <span style="color: #990000;"><b>second</b></span>, and <b><span style="color: #073763;">third </span></b>night</span></div>
<br />
The Robin logger was found two weeks later inside the cave, using a UHF beacon device. A summary of the experiment is given below.<br />
<br />
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<tr><td style="text-align: center;"><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjv4yMHVPu-cuNWp5bYNSnPDhDIyybfc-NIdLKaJQ8ssOC0J3_sCBQ0-0EPvYIEIhhyphenhyphen5Ob2HsKAD1ndX_1qUzIkmAs5hEocOFd4CA9D2fjKrZ99d_vgJqOPnxB94lAdPiIN0_hUGKavWxw/s1600/full+track.jpg" imageanchor="1" style="margin-left: auto; margin-right: auto;"><img border="0" height="400" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjv4yMHVPu-cuNWp5bYNSnPDhDIyybfc-NIdLKaJQ8ssOC0J3_sCBQ0-0EPvYIEIhhyphenhyphen5Ob2HsKAD1ndX_1qUzIkmAs5hEocOFd4CA9D2fjKrZ99d_vgJqOPnxB94lAdPiIN0_hUGKavWxw/s400/full+track.jpg" width="375" /></a></td></tr>
<tr><td class="tr-caption" style="text-align: center;">Figure 5: All nights on the same map.</td></tr>
</tbody></table>
Despite this experiment being simply very cool for a GPS passionate as I am, I shall probably mention here that <i>I don't work for Cell-guide</i> so for further information on the Robin GPS Logger please do contact the experts!<br />
<a href="mailto:info@cell-guide.com">info@cell-guide.com</a><br />
<br />
Cheers,<br />
Michele<br />
Michelehttp://www.blogger.com/profile/03657889163945060210noreply@blogger.com12tag:blogger.com,1999:blog-5679825113811261335.post-86207090457151533432012-12-14T00:09:00.001-08:002012-12-14T00:09:53.746-08:00Full Galileo IOV<div class="separator" style="clear: both; text-align: center;">
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After a long wait, it was a pleasure this morning to record the full IOV constellation. </div>
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<table align="center" cellpadding="0" cellspacing="0" class="tr-caption-container" style="margin-left: auto; margin-right: auto; text-align: center;"><tbody>
<tr><td style="text-align: center;"><img border="0" height="310" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEiusDTCCCsorrQ457BZuB93F4MI910ezoZcg0hmnewIDEJ6UGsrcKXYQxssD_hJS977gKz7t2xFjdE0akcBg-yyEzsosc0_skdJOSCyj_4dzYuDYMUP0abxjjJc4ZHDqCy5029s6LZxWKw/s400/gal_vis.png" style="margin-left: auto; margin-right: auto;" width="400" /></td></tr>
<tr><td class="tr-caption" style="text-align: center;">Figure 1: Orbitron prediction of Galileo visibility this morning.</td></tr>
</tbody></table>
<div class="separator" style="clear: both; text-align: center;">
</div>
The NV08C-CSM receiver with a R&D firmware could track all 4 IOV Galileo satellites, as well as another 21 SVs between GPS, Glonass, and EGNOS. <br />
<div class="separator" style="clear: both; text-align: center;">
</div>
<br />
<table align="center" cellpadding="0" cellspacing="0" class="tr-caption-container" style="margin-left: auto; margin-right: auto; text-align: center;"><tbody>
<tr><td style="text-align: center;"><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhnf4-s778vmwDOwElpkKf99Cc_Dykdec2xTJf4L4Qhg_my35kmXpWSy8U7nHCiYRk_34w9NUkdqVsSTS1g53KlZKcRWhZNfVOZxFx-zn27KE-kMpURfBmS67SnFW_N68h9xXkBGkAenx8/s1600/gal_all3.png" imageanchor="1" style="margin-left: auto; margin-right: auto;"><img border="0" height="200" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhnf4-s778vmwDOwElpkKf99Cc_Dykdec2xTJf4L4Qhg_my35kmXpWSy8U7nHCiYRk_34w9NUkdqVsSTS1g53KlZKcRWhZNfVOZxFx-zn27KE-kMpURfBmS67SnFW_N68h9xXkBGkAenx8/s400/gal_all3.png" width="400" /></a></td></tr>
<tr><td class="tr-caption" style="text-align: center;">Figure 2: NVS Storegis recording NMEA with all 4 IOV satellites.</td></tr>
</tbody></table>
An excerpt of the log file:<br />
<br />
<span style="font-family: "Courier New",Courier,monospace;"><span style="font-size: x-small;">$GPGGA,071500.00,4342.8439,N,01024.2096,E,1,18,00.6,023.3,M,47.9,M,,*55<br />$GPRMC,071500.00,A,4342.8439,N,01024.2096,E,00.00,206.5,141212,,,A*54<br />$GPGSV,4,1,13,03,21,287,44,06,41,290,48,16,50,307,49,18,33,136,44*71<br />$GPGSV,4,2,13,21,72,066,47,22,12,170,39,29,24,084,42,30,73,245,51*70<br />$GPGSV,4,3,13,31,16,210,44,33,33,215,42,37,38,164,37,39,37,159,40*75<br />$GPGSV,4,4,13,40,23,124,36*4C<br />$GLGSV,3,1,09,68,05,014,34,69,31,060,42,70,26,122,44,74,07,190,40*60<br />$GLGSV,3,2,09,75,42,233,44,76,36,310,46,84,30,060,37,85,62,355,46*6A<br />$GLGSV,3,3,09,86,31,283,47*5A<br />$GAGSV,1,1,04,161,00,000,41,162,00,000,47,169,00,000,42,170,00,000,43*60<br />$GNGSA,A,3,22,03,06,30,16,18,21,29,31,,,,01.1,00.6,01.0*19<br />$GNGSA,A,3,70,86,76,75,69,84,85,68,74,,,,01.1,00.6,01.0*12<br />$PORZD,A,001.1*3C<br />$GNGBS,071500.00,0.9,0.6,2.3,,,,*52</span></span><br />
<br />
<br />
I also turned on my SdrNav00 modified with a 26MHz oscillator and obtained the following:<br />
<table align="center" cellpadding="0" cellspacing="0" class="tr-caption-container" style="margin-left: auto; margin-right: auto; text-align: center;"><tbody>
<tr><td style="text-align: center;"><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhrLJ771PFyYzP7JlFxNdxWv-Xu1mALMlKn-owYGkCFbn6VnoUFoK_4t9Y6OdQBQ_rKAp0ZRilNI3NdKMoCbQt-T__nTOdk1Ttb1NmVv2JLHd8cQHY2p7rTbdk1iYw25nCm4mykLwqPa2s/s1600/hist.png" imageanchor="1" style="margin-left: auto; margin-right: auto;"><img border="0" height="300" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhrLJ771PFyYzP7JlFxNdxWv-Xu1mALMlKn-owYGkCFbn6VnoUFoK_4t9Y6OdQBQ_rKAp0ZRilNI3NdKMoCbQt-T__nTOdk1Ttb1NmVv2JLHd8cQHY2p7rTbdk1iYw25nCm4mykLwqPa2s/s400/hist.png" width="400" /></a></td></tr>
<tr><td class="tr-caption" style="text-align: center;">Figure 3: SdrNav00 signal properties.</td></tr>
</tbody></table>
<table align="center" cellpadding="0" cellspacing="0" class="tr-caption-container" style="margin-left: auto; margin-right: auto; text-align: center;"><tbody>
<tr><td style="text-align: center;"><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgaNsSoj-65AnwjiFuo1mbOfukYdaujrey-HSf06m8lfx7yq-9bLRjK7HkZy-gsQgF4-_L9OnrVmyuVLvnFFMvH8BC96Vjo4R3BxA2Vxgdx-Arab97_2jHuTPK-vPbEDSJ5y3cbcYikbPo/s1600/spec.png" imageanchor="1" style="margin-left: auto; margin-right: auto;"><img border="0" height="300" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgaNsSoj-65AnwjiFuo1mbOfukYdaujrey-HSf06m8lfx7yq-9bLRjK7HkZy-gsQgF4-_L9OnrVmyuVLvnFFMvH8BC96Vjo4R3BxA2Vxgdx-Arab97_2jHuTPK-vPbEDSJ5y3cbcYikbPo/s400/spec.png" width="400" /></a></td></tr>
<tr><td class="tr-caption" style="text-align: center;">Figure 4: SdrNav00 signal power spectrum</td><td class="tr-caption" style="text-align: center;"><br /></td><td class="tr-caption" style="text-align: center;"><br /></td></tr>
</tbody></table>
<table align="center" cellpadding="0" cellspacing="0" class="tr-caption-container" style="margin-left: auto; margin-right: auto; text-align: center;"><tbody>
<tr><td style="text-align: center;"><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhHpoU8YulICmgjiWSbYT7QF-uI1kJ3lGGI7rOMGlt35rabWa9kVGn2EG5GxucAQpN-MaWSYF82PJDQW-UKE-DmjILDuJcQJLdTPrc_X0q7TmTnBI88tHWkvWJZ3aqT9wdrUeZ8LXSpRX8/s1600/allsats.png" imageanchor="1" style="margin-left: auto; margin-right: auto;"><img border="0" height="300" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhHpoU8YulICmgjiWSbYT7QF-uI1kJ3lGGI7rOMGlt35rabWa9kVGn2EG5GxucAQpN-MaWSYF82PJDQW-UKE-DmjILDuJcQJLdTPrc_X0q7TmTnBI88tHWkvWJZ3aqT9wdrUeZ8LXSpRX8/s400/allsats.png" width="400" /></a></td></tr>
<tr><td class="tr-caption" style="text-align: center;">Figure 5: Galileo acquisiton on E1b signal.</td></tr>
</tbody></table>
<br />
Galileo pseudoranges were logged by NV08C-CSM and by my SdrNav00, so the next step is to try PVT with the <a href="http://igs.org/mgex/Status_GAL.htm" target="_blank">TUM orbits</a>. <br />
<br />
<br />
<br />
<br />Michelehttp://www.blogger.com/profile/03657889163945060210noreply@blogger.com7tag:blogger.com,1999:blog-5679825113811261335.post-44921500061818479162012-08-21T13:19:00.000-07:002012-08-21T13:34:55.189-07:00The GPS tracker to beat (smallest, lightest, and most durable)<table align="center" cellpadding="0" cellspacing="0" class="tr-caption-container" style="margin-left: auto; margin-right: auto; text-align: center;"><tbody>
<tr><td style="text-align: center;"><span style="font-size: small;"><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjngdhNYgruidlgDND-ZlgMo_jRQBI9bBCUZYnAr3VFeVjdOMd29RTCAtGPDauY40L1xXc3RtnPCk1AP9AxHnOwi668_kXYs1UuvCdcwyi8rV7ssX3Aaptch2jwc8JMoklPlNOjgRsOGOI/s1600/robin+%286%29.JPG" imageanchor="1" style="margin-left: auto; margin-right: auto;"><img border="0" height="240" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjngdhNYgruidlgDND-ZlgMo_jRQBI9bBCUZYnAr3VFeVjdOMd29RTCAtGPDauY40L1xXc3RtnPCk1AP9AxHnOwi668_kXYs1UuvCdcwyi8rV7ssX3Aaptch2jwc8JMoklPlNOjgRsOGOI/s320/robin+%286%29.JPG" width="320" /></a></span></td></tr>
<tr><td class="tr-caption" style="text-align: center;"><span style="font-size: small;">Figure 0: Please read below.</span></td></tr>
</tbody></table>
<div class="MsoNormal" style="font-family: inherit;">
<span lang="EN-US" style="font-size: small;">From the
very early days of GPS snapshot technology has been proposed as a way of
reducing power consumption and footprint of a radio positioning device. Some
papers about NASA microGPS date back to late ‘90ies:</span></div>
<div class="MsoNormal" style="font-family: inherit;">
<span lang="EN-US" style="font-size: small;"><a href="http://ipnpr.jpl.nasa.gov/progress_report/42-131/131E.pdf">http://ipnpr.jpl.nasa.gov/progress_report/42-131/131E.pdf</a></span></div>
<div class="MsoNormal" style="font-family: inherit;">
<span style="font-size: small;"><br /></span></div>
<div class="MsoNormal" style="font-family: inherit;">
<span lang="EN-US" style="font-size: small;">Later on many
Companies tried to patent this technology and bring it to the market. Most of
them have been acquired or have merged - see the latest acquisition of CSR “mobile
business” (whatever that means!) from Samsung. </span></div>
<div class="MsoNormal" style="font-family: inherit;">
<span lang="EN-US" style="font-size: small;">To our
knowledge until today all development efforts led to products with disputable market
readiness, if otherwise mostly devoted to picture geo-tagging.</span>
<br />
<div class="MsoNormal" style="font-family: inherit;">
<span lang="EN-US" style="font-size: small;">Instead, the
assumption that a snapshot approach could beat (from the cost and power
consumption point of view) a hardware baseband has always been contradicted by Moore’s
law and market demand. Lead manufacturers now release complete GPS engines on a
chip smaller than what was before the RF Front-End part only. Compare e.g. the
CSR GSD4e (3.5 x 3.2 x 0.6mm 42-ball WLCSP) and the Skyworks SE4150L (4 x 4 x
0.9 mm 24-pin QFN). That is probably why the complexity associated to a
snapshot positioning approach has never won over a slightly more expensive and
power consuming standard GPS receiver.</span></div>
<span lang="EN-US" style="font-size: small;">Probably the real value of a snapshot approach has
not been identified yet and in our opinion is to be searched in other domains such
as geoencryption and GNSS authentication:</span></div>
<div class="MsoNormal" style="font-family: inherit; text-align: justify;">
<span lang="EN-US" style="font-size: small;"><a href="http://www.insidegnss.com/node/1633">http://www.insidegnss.com/node/1633</a></span></div>
<div class="MsoNormal" style="font-family: inherit;">
<span style="font-size: small;"><br /></span></div>
<div class="MsoNormal" style="font-family: inherit;">
<span lang="EN-US" style="font-size: small;">So we longed
for a Company that would own the technological skills to provide a new standard
in terms of snapshot positioning. </span></div>
<div class="MsoNormal" style="font-family: inherit;">
<span lang="EN-US" style="font-size: small;">Cellguide has been in the business several
years now but only recently released a real hardware module – simple to use and
available for sale – that works with a snapshot positioning approach and has
specifications that could dramatically change the tracking business: the Robin.</span></div>
<div class="MsoNormal" style="font-family: inherit;">
<span lang="EN-US" style="font-size: small;"><a href="http://www.cell-guide.com/GPS-Logger-Solutions/robin.html">http://www.cell-guide.com/GPS-Logger-Solutions/robin.html</a></span></div>
<div style="font-family: inherit;">
<span style="font-size: small;"><br /></span>
<span lang="EN-US" style="font-size: small; line-height: 115%;">We bought an evaluation kit (expensive, but
breaks the ice) and we are testing it together with other </span><br />
<span lang="EN-US" style="font-size: small; line-height: 115%;">enthusiastic engineers. </span></div>
<div style="font-family: inherit;">
<span style="font-size: small;"><br /></span></div>
<div style="font-family: inherit;">
<span lang="EN-US" style="font-size: small; line-height: 115%;">A Robin device on its cradle (used for charging, programming, and downloading the snapshots on the PC) looks like this:</span></div>
<div style="font-family: inherit;">
<span style="font-size: small;"><br /></span></div>
<table align="center" cellpadding="0" cellspacing="0" class="tr-caption-container" style="font-family: inherit; margin-left: auto; margin-right: auto; text-align: center;"><tbody>
<tr><td style="text-align: center;"><span style="font-size: small;"><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEg0PagVkLbugJ8p36LC5UXCPzClvicwf0o5t0Fk5yWPHXYHgH_7OrzwNjY7lmj8r8uGNj0dyzUcYCgm53MKolbfjMN6OCZdCe8kGZexoKeD3LZDFoNGGtv3-4t57_2LXceTBSnV-AK8iZM/s1600/robin+%281%29.JPG" imageanchor="1" style="margin-left: auto; margin-right: auto;"><img border="0" height="240" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEg0PagVkLbugJ8p36LC5UXCPzClvicwf0o5t0Fk5yWPHXYHgH_7OrzwNjY7lmj8r8uGNj0dyzUcYCgm53MKolbfjMN6OCZdCe8kGZexoKeD3LZDFoNGGtv3-4t57_2LXceTBSnV-AK8iZM/s320/robin+%281%29.JPG" width="320" /></a></span></td></tr>
<tr><td class="tr-caption" style="text-align: center;"><span style="font-size: small;">Figure 1: Robin device on its cradle</span></td></tr>
</tbody></table>
<div style="font-family: inherit;">
<span lang="EN-US" style="font-size: small; line-height: 115%;"> A couple of Robin devices next to each other:</span></div>
<div style="font-family: inherit;">
<span style="font-size: small;"><br /></span></div>
<table align="center" cellpadding="0" cellspacing="0" class="tr-caption-container" style="font-family: inherit; margin-left: auto; margin-right: auto; text-align: center;"><tbody>
<tr><td style="text-align: center;"><span style="font-size: small;"><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjhoxxdPXCU2DZ3Bs3ZiRwnKbkA8ShD2g9JDV0emrQwdAFSo52XkL3sTgKqkj5XuI9bZ4RhyphenhyphenDlNyPLbv1qcWIAr-mvV09QjOaqRa1Dr4GW5yYml-7degGhpcMitMXb71hQoESgXCeuArcc/s1600/robin+%283%29.JPG" imageanchor="1" style="margin-left: auto; margin-right: auto;"><img border="0" height="240" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjhoxxdPXCU2DZ3Bs3ZiRwnKbkA8ShD2g9JDV0emrQwdAFSo52XkL3sTgKqkj5XuI9bZ4RhyphenhyphenDlNyPLbv1qcWIAr-mvV09QjOaqRa1Dr4GW5yYml-7degGhpcMitMXb71hQoESgXCeuArcc/s320/robin+%283%29.JPG" width="320" /></a></span></td></tr>
<tr><td class="tr-caption" style="text-align: center;"><span style="font-size: small;">Figure 2: Two robin devices next to each other</span></td><td class="tr-caption" style="text-align: center;"><br /></td><td class="tr-caption" style="text-align: center;"><br /></td><td class="tr-caption" style="text-align: center;"><span style="font-size: small;"><br /></span></td></tr>
</tbody></table>
<div class="MsoNormal" style="font-family: inherit;">
<span lang="EN-US" style="font-size: small;">The Robin
brochure says already a lot, but I wanted to show the results of a real test (on
the beach – it is summer after all). </span></div>
<div style="font-family: inherit;">
<span lang="EN-US" style="font-size: small; line-height: 115%;">The reference path was roughly this one:</span></div>
<div style="font-family: inherit;">
<span style="font-size: small;"><br /></span></div>
<table align="center" cellpadding="0" cellspacing="0" class="tr-caption-container" style="font-family: inherit; margin-left: auto; margin-right: auto; text-align: center;"><tbody>
<tr><td style="text-align: center;"><span style="font-size: small;"><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhiRM3OhsgmGdaa-Rd39urvQMgELfbb8yjZTMM2uYlJLBLKIt8b9FGtCC9l7gUzDDahBEaJS-Y-6nUS5tDdzJZsj0yfyF53rsbDpBVHKoJBgrrmLsmptl5So9iyGN7knjGGbmkg9FcSnC0/s1600/Swimming+path.jpg" imageanchor="1" style="margin-left: auto; margin-right: auto;"><img border="0" height="269" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhiRM3OhsgmGdaa-Rd39urvQMgELfbb8yjZTMM2uYlJLBLKIt8b9FGtCC9l7gUzDDahBEaJS-Y-6nUS5tDdzJZsj0yfyF53rsbDpBVHKoJBgrrmLsmptl5So9iyGN7knjGGbmkg9FcSnC0/s320/Swimming+path.jpg" width="320" /></a></span></td></tr>
<tr><td class="tr-caption" style="text-align: center;"><span style="font-size: small;">Figure 3: Approximate reference path</span></td></tr>
</tbody></table>
<div style="font-family: inherit;">
<span lang="EN-US" style="font-size: small;">The little wire
antenna in the pictures above was used (which is terrible compared to a patch antenna of course). </span></div>
<div class="MsoNormal" style="font-family: inherit;">
<span style="font-size: small;"><i><span lang="EN-US">Please
note that each snapshot is - by design - completely independent from the others.</span></i></span></div>
<div class="MsoNormal" style="font-family: inherit;">
<span style="font-size: small;"><br /></span></div>
<div class="MsoNormal" style="font-family: inherit;">
<span lang="EN-US" style="font-size: small;">64ms
snapshots (at 1Hz) lead to the following positioning results:</span></div>
<div style="font-family: inherit;">
<span lang="EN-US" style="font-size: small; line-height: 115%;"><br /></span>
</div>
<table align="center" cellpadding="0" cellspacing="0" class="tr-caption-container" style="font-family: inherit; margin-left: auto; margin-right: auto; text-align: center;"><tbody>
<tr><td style="text-align: center;"><span style="font-size: small;"><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEigNPHv-J1VbATUpCNwYV9zNnJWDETu8dFpOBYJ1QLB0shw5z0hNqCcPO8prqZ6_A1gdPCMboOhQJ2VvbWP42bn5j9OSahti3iNZXuzPezxvqL2eGHmXBVDDPNgvKJRnqDKBbKbKjGtVkA/s1600/64ms-raw.jpg" imageanchor="1" style="margin-left: auto; margin-right: auto;"><img border="0" height="189" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEigNPHv-J1VbATUpCNwYV9zNnJWDETu8dFpOBYJ1QLB0shw5z0hNqCcPO8prqZ6_A1gdPCMboOhQJ2VvbWP42bn5j9OSahti3iNZXuzPezxvqL2eGHmXBVDDPNgvKJRnqDKBbKbKjGtVkA/s320/64ms-raw.jpg" width="320" /></a></span></td></tr>
<tr><td class="tr-caption" style="text-align: center;"><span style="font-size: small;">Figure 4a: 64ms snapshots, raw</span></td><td class="tr-caption" style="text-align: center;"><span style="font-size: small;"><br /></span></td></tr>
</tbody></table>
<table align="center" cellpadding="0" cellspacing="0" class="tr-caption-container" style="font-family: inherit; margin-left: auto; margin-right: auto; text-align: center;"><tbody>
<tr><td style="text-align: center;"><span style="font-size: small;"><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEiKrQUAXP8TYPlTvOdLeUnOw8HS1QgkKg0Mb6lsPYbnBc-O8ZY214z48eGbauHYwczvdMV6aTG3JfnrRwteCXb0RGwDkVk8zfiUB3nV3ApPr_VSQ8r2SinJVdghEhC7oHfMK6TcWbPIawM/s1600/64ms-filter1sec.jpg" imageanchor="1" style="margin-left: auto; margin-right: auto;"><img border="0" height="189" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEiKrQUAXP8TYPlTvOdLeUnOw8HS1QgkKg0Mb6lsPYbnBc-O8ZY214z48eGbauHYwczvdMV6aTG3JfnrRwteCXb0RGwDkVk8zfiUB3nV3ApPr_VSQ8r2SinJVdghEhC7oHfMK6TcWbPIawM/s320/64ms-filter1sec.jpg" width="320" /></a></span></td></tr>
<tr><td class="tr-caption" style="text-align: center;"><span style="font-size: small;">Figure 4b: 64ms snapshots at 1Hz, Kalman filtered </span></td></tr>
</tbody></table>
<table align="center" cellpadding="0" cellspacing="0" class="tr-caption-container" style="font-family: inherit; margin-left: auto; margin-right: auto; text-align: center;"><tbody>
<tr><td style="text-align: center;"><span style="font-size: small;"><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhce3BSR65zrXhlXi1gWll7HGvdAPaImK-IcKFtA9YOGeplu2jA7O5lN8jiYP5aVj3WR2pZ5NjmuK8j66A8pEKNkgVhyphenhyphenhAph7EK5EtNw9mAgCUB4UVDU992Lb7-VFEzj5ajx4TTBKXTe9o/s1600/64ms-filter5sec.jpg" imageanchor="1" style="margin-left: auto; margin-right: auto;"><img border="0" height="189" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhce3BSR65zrXhlXi1gWll7HGvdAPaImK-IcKFtA9YOGeplu2jA7O5lN8jiYP5aVj3WR2pZ5NjmuK8j66A8pEKNkgVhyphenhyphenhAph7EK5EtNw9mAgCUB4UVDU992Lb7-VFEzj5ajx4TTBKXTe9o/s320/64ms-filter5sec.jpg" width="320" /></a></span></td></tr>
<tr><td class="tr-caption" style="text-align: center;"><span style="font-size: small;">Figure 4c: 64ms snapshots at 0.2Hz, Kalman filtered</span></td></tr>
</tbody></table>
<div style="font-family: inherit;">
<span style="font-size: small;"></span></div>
<div class="MsoNormal" style="font-family: inherit;">
<span lang="EN-US" style="font-size: small;">The same
was test was also reproduced by taking 512ms snapshots (higher sensitivity) at 1Hz.</span></div>
<div class="MsoNormal" style="font-family: inherit;">
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<tr><td style="text-align: center;"><span style="font-size: small;"><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhu7MVsAuE6qUo5UKIhd5XYHcnUFeZAWaHNqwbOLL0qqw48ghN3m8bhnp_27NNm5SsO9EOJBuJFIGiu0NrYwXUq8P6Wc_eBnEuhEES-_7KDEeiSzWmAMVF6Em9kotoFD7dFnEuwWnmIEYY/s1600/256ms-raw.jpg" imageanchor="1" style="margin-left: auto; margin-right: auto;"><img border="0" height="189" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhu7MVsAuE6qUo5UKIhd5XYHcnUFeZAWaHNqwbOLL0qqw48ghN3m8bhnp_27NNm5SsO9EOJBuJFIGiu0NrYwXUq8P6Wc_eBnEuhEES-_7KDEeiSzWmAMVF6Em9kotoFD7dFnEuwWnmIEYY/s320/256ms-raw.jpg" width="320" /></a></span></td></tr>
<tr><td class="tr-caption" style="text-align: center;"><span style="font-size: small;">Figure 5a: 512ms snapshots at 1Hz, raw</span></td></tr>
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<tr><td style="text-align: center;"><span style="font-size: small;"><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEivYTBSPD09n5TAo2Qijd8R6n7Nj3-jIuohVswVK6GYvluve54g0tSSkOunFXda1rijRCSAAKhYvvKT8n3El61H-5N85opmDN75i05z3TwvTOoaULxMFdExiT5bTPOxRpeKEJghHolaPkw/s1600/256ms-filter1sec.jpg" imageanchor="1" style="margin-left: auto; margin-right: auto;"><img border="0" height="189" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEivYTBSPD09n5TAo2Qijd8R6n7Nj3-jIuohVswVK6GYvluve54g0tSSkOunFXda1rijRCSAAKhYvvKT8n3El61H-5N85opmDN75i05z3TwvTOoaULxMFdExiT5bTPOxRpeKEJghHolaPkw/s320/256ms-filter1sec.jpg" width="320" /></a></span></td></tr>
<tr><td class="tr-caption" style="text-align: center;"><span style="font-size: small;">Figure 5b: 512ms snapshots at 1Hz, Kalman filtered</span></td></tr>
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<tr><td style="text-align: center;"><span style="font-size: small;"><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEi-xEs7unwy1HzYlr45oxyn_cGaa6Xf7iO7o_I40rMEhC5skGZw8RTy4u49x_0gt45xYCnkYyALv_Pt5UPEuL3vOu17hBp9Ic478C5iQvNqMzkDyuUuZUGAxgnhRe_YdkGYmMncxB1ucT4/s1600/256ms-filter5sec.jpg" imageanchor="1" style="margin-left: auto; margin-right: auto;"><img border="0" height="189" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEi-xEs7unwy1HzYlr45oxyn_cGaa6Xf7iO7o_I40rMEhC5skGZw8RTy4u49x_0gt45xYCnkYyALv_Pt5UPEuL3vOu17hBp9Ic478C5iQvNqMzkDyuUuZUGAxgnhRe_YdkGYmMncxB1ucT4/s320/256ms-filter5sec.jpg" width="320" /></a></span></td></tr>
<tr><td class="tr-caption" style="text-align: center;"><span style="font-size: small;">Figure 5c: 512ms snapshots at 0.2Hz, Kalman filtered</span></td></tr>
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<span lang="EN-US" style="font-size: small;"> Results can be summarised in the following:</span></div>
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<span style="font-size: small;"><br /></span></div>
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<tr><td style="text-align: center;"><span style="font-size: small;"><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEg8gFSMSaiqanmJSjShgvr8cL5s7YaQBeF751q7lAsBwtTUVDTZ1MpqfSFdO4OoAtnvO8igzQF2ZGkJ8mLbB_kevAyqDmGV64Sni0PRmq8vH5KyNjzHToRgqoYu2aLGgoQcDqpAsETLxK4/s1600/64ms-raw-filt1.jpg" imageanchor="1" style="margin-left: auto; margin-right: auto;"><img border="0" height="189" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEg8gFSMSaiqanmJSjShgvr8cL5s7YaQBeF751q7lAsBwtTUVDTZ1MpqfSFdO4OoAtnvO8igzQF2ZGkJ8mLbB_kevAyqDmGV64Sni0PRmq8vH5KyNjzHToRgqoYu2aLGgoQcDqpAsETLxK4/s320/64ms-raw-filt1.jpg" width="320" /></a></span></td></tr>
<tr><td class="tr-caption" style="text-align: center;"><span style="font-size: small;">Figure 6a: 64ms snapshots, raw (red) and filtered (green)</span></td></tr>
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<tr><td style="text-align: center;"><span style="font-size: small;"><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhhV3hi37Xya8HAQD0o7sagkIRQn9AOi8UMyq1Rrj-dUn1_npgrzQnFzPI88zF8XJ54qKUHL4FcOh3E5xSqb25LSRpjiDR8jF8ER4jsS2mw5R66qbBoTCHVTSQvXYs66FI6co-CQZXfqPA/s1600/256ms-raw-filt1.jpg" imageanchor="1" style="margin-left: auto; margin-right: auto;"><img border="0" height="189" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhhV3hi37Xya8HAQD0o7sagkIRQn9AOi8UMyq1Rrj-dUn1_npgrzQnFzPI88zF8XJ54qKUHL4FcOh3E5xSqb25LSRpjiDR8jF8ER4jsS2mw5R66qbBoTCHVTSQvXYs66FI6co-CQZXfqPA/s320/256ms-raw-filt1.jpg" width="320" /></a></span></td></tr>
<tr><td class="tr-caption" style="text-align: center;"><span style="font-size: small;">Figure 6b: 512ms snapshots, raw (red) and filtered (green)</span></td></tr>
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<tr><td style="text-align: center;"><span style="font-size: small;"><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhkNu3MV9QrEHOdYPsbMM7TE81AfUK43VouTFdXzLVC_nn9U5yhYu2gV5_sQcz7DwDv5l3ETfBErlhyphenhyphenRd4veuvLSLogUgf3gDeIhM3DqOyxpAlL9L111H-rKcwA8wasfeyq7bacQslUMqw/s1600/256ms-64ms-filter1sec.jpg" imageanchor="1" style="margin-left: auto; margin-right: auto;"><img border="0" height="189" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhkNu3MV9QrEHOdYPsbMM7TE81AfUK43VouTFdXzLVC_nn9U5yhYu2gV5_sQcz7DwDv5l3ETfBErlhyphenhyphenRd4veuvLSLogUgf3gDeIhM3DqOyxpAlL9L111H-rKcwA8wasfeyq7bacQslUMqw/s320/256ms-64ms-filter1sec.jpg" width="320" /></a></span></td></tr>
<tr><td class="tr-caption" style="text-align: center;"><span style="font-size: small;">Figure 6c: filtered output for 64ms (diamonds) and 512 (circles)</span></td></tr>
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<div style="font-family: inherit;">
<span style="font-size: small;"><br /></span></div>
<div style="font-family: inherit;">
<span style="font-size: small;">Robin was born at Cellguide for wildlife tracking but as we came across it we could not help thinking it shall be employed in lots of other cases as well. The Aclys chip (earth of Robin) has a low data rate, low pin count SPI bus compatible even with simple 16bit micro-controllers. It can therefore be embedded in very small and cost effective devices to enable tracking capability where it was not possible before.</span></div>
<div style="font-family: inherit;">
<span style="font-size: small;">We see potential in this technique and we hope you enjoyed reading as as much as we did running the tests!</span></div>
<div style="font-family: inherit;">
<span style="font-size: small;"><br /></span></div>
<div style="font-family: inherit;">
<span style="font-size: small;">Greetings,</span></div>
<div style="font-family: inherit;">
<span style="font-size: small;">Michele</span></div>
<div style="font-family: inherit;">
<span style="font-size: small;"><br /></span></div>
<div style="font-family: inherit;">
<span style="font-size: small;">P.S.: For further information please</span><span dir="LTR" style="font-size: small;"> contact directly the Cell-guide guys at <a href="mailto:info@cell-guide.com">info@cell-guide.com</a></span> </div>
Michelehttp://www.blogger.com/profile/03657889163945060210noreply@blogger.com11tag:blogger.com,1999:blog-5679825113811261335.post-75505919862141151172012-04-10T15:02:00.000-07:002012-04-16T01:06:27.538-07:00Spring news in the GNSS and SDR domain<div class="separator" style="clear: both; text-align: center;">
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I have been following in the last few days interesting developments in the GNSS and SDR domain.<br />
<h4>
1. NV08C-CSM and dual constellation RAW measurements </h4>
It's <a href="http://www.nvs-gnss.com/news/65-nvs-technologies-ag-releases-a-raw-data-output-enabled-firmware-for-its-nv08c-multi-gnss-receiver-series.html" target="_blank">recent news</a> that NVS has lifted the constraints on the firmware with RAW data for GPS and Glonass on L1. In my opinion this is one of those rare times that the rules of the game are changed by one of its players.<br />
Essentially the NV08C-CSM provides real-time kinematic capability at 10Hz, with a price point as low as 35EUR/piece in small quantities. It is already possible to download an unofficial version of RTKNavi.exe and RTKConv.exe <a href="http://www.onetalent-gnss.com/ideas/usb-hw-receivers/denga10" target="_blank">here</a>, but <a href="http://www.rtklib.com/" target="_blank">RTKLIB </a>will <a href="http://gpspp.sakura.ne.jp/diary201203.htm" target="_blank">officially support the receiver from next version</a> anyway.<br />
Below are some pics of what Denga10 and the navXperience 3G+C could do with the good old 2.4.1 "Static Precise Point Positioning" over three hours.. bringing down the error to less than 20cm in complete standalone mode (by using only <u>broadcast</u> products).<br />
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<tr><td style="text-align: center;"><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhi5sI7caWibWbvCeHYJt-GRFoxNVH8mqJzV5kL4BowFPSdBb9OjnWmZWOTboo0OjgRWLo7Q3-hv7I6wKdNFGHy3I5pPcInTpwniP3vgCDgqFj3RLen3uWJzw14xXd09jKPyLDcE15OmQQ/s1600/rtknavi_main1_2.png" imageanchor="1" style="margin-left: auto; margin-right: auto;"><img border="0" height="230" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhi5sI7caWibWbvCeHYJt-GRFoxNVH8mqJzV5kL4BowFPSdBb9OjnWmZWOTboo0OjgRWLo7Q3-hv7I6wKdNFGHy3I5pPcInTpwniP3vgCDgqFj3RLen3uWJzw14xXd09jKPyLDcE15OmQQ/s320/rtknavi_main1_2.png" width="320" /></a></td></tr>
<tr><td class="tr-caption" style="text-align: center;">Rtknavi (NVS mod) doing static PPP with 14 sats</td></tr>
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<tr><td class="tr-caption" style="text-align: center;">Rtknavi (NVS mod) available satellite close-up</td></tr>
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<tr><td style="text-align: center;"><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEiDmfnnm2dE_sZFyUCfbXMmenHGdIpFX6BAmk1LEyuUaToB4I4hQ0OJzQlnteq1Y63AAaPOn_qdy7GVduZi_-3qe0SxXpoTvCg_13uGFpoaH7YokfG5acPIpINWumDkwh0haP23JM4W77g/s1600/rtknavi_navglo.png" imageanchor="1" style="margin-left: auto; margin-right: auto;"><img border="0" height="164" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEiDmfnnm2dE_sZFyUCfbXMmenHGdIpFX6BAmk1LEyuUaToB4I4hQ0OJzQlnteq1Y63AAaPOn_qdy7GVduZi_-3qe0SxXpoTvCg_13uGFpoaH7YokfG5acPIpINWumDkwh0haP23JM4W77g/s640/rtknavi_navglo.png" width="640" /></a></td></tr>
<tr><td class="tr-caption" style="text-align: center;">Glonass broadcast navigation data</td></tr>
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<tr><td style="text-align: center;"><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjI3bo9aLtWj-b_jlOjchYJ9JsAylfbLp8M_MU2qUtUaQW0AM05lreiLhTn_S2lwneo6zrXSWhrJCixYKOAdpAxmpa_UikZBJc8k1pr-8I0Wilb8mSCwJMraL96FdLOUD-Ux3f4cNsopp4/s1600/rtknavi_navgps.png" imageanchor="1" style="margin-left: auto; margin-right: auto;"><img border="0" height="166" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjI3bo9aLtWj-b_jlOjchYJ9JsAylfbLp8M_MU2qUtUaQW0AM05lreiLhTn_S2lwneo6zrXSWhrJCixYKOAdpAxmpa_UikZBJc8k1pr-8I0Wilb8mSCwJMraL96FdLOUD-Ux3f4cNsopp4/s640/rtknavi_navgps.png" width="640" /></a></td></tr>
<tr><td class="tr-caption" style="text-align: center;">GPS broadcast navigation data</td></tr>
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<tr><td style="text-align: center;"><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgCiY7dY5AzZ9IvTPH1aHOTrHo3Q6rulfSzq9jBFlWPftO26KspQhzfaSuY6Ompfbzs1ewqE3hEbyNGHz84fYPLOVayq2T0os0p2qTl9W2Q_NkLBKiXmED36n3AnB7-szWFjgjKGT1eXVM/s1600/rtknavi_obs_2.png" imageanchor="1" style="margin-left: auto; margin-right: auto;"><img border="0" height="266" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgCiY7dY5AzZ9IvTPH1aHOTrHo3Q6rulfSzq9jBFlWPftO26KspQhzfaSuY6Ompfbzs1ewqE3hEbyNGHz84fYPLOVayq2T0os0p2qTl9W2Q_NkLBKiXmED36n3AnB7-szWFjgjKGT1eXVM/s640/rtknavi_obs_2.png" width="640" /></a></td></tr>
<tr><td class="tr-caption" style="text-align: center;">GPS/Glonass observations.. 21!</td></tr>
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<tr><td style="text-align: center;"><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhJnmnkRCznVYuMfszvbPXd1PMuPtsd3fb-rK2h09wodwrTbYynkds8TafwaXJySqnadMyljaeuOTDzlOXdEZSEZMmHc-SAEhPB34Q3pt8KZRDALPRB6G88imXyia003CKy5RbTwQYO08U/s1600/rtknavi_svs_2.png" imageanchor="1" style="margin-left: auto; margin-right: auto;"><img border="0" height="202" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhJnmnkRCznVYuMfszvbPXd1PMuPtsd3fb-rK2h09wodwrTbYynkds8TafwaXJySqnadMyljaeuOTDzlOXdEZSEZMmHc-SAEhPB34Q3pt8KZRDALPRB6G88imXyia003CKy5RbTwQYO08U/s640/rtknavi_svs_2.png" width="640" /></a></td></tr>
<tr><td class="tr-caption" style="text-align: center;">Satellites used in the fix</td></tr>
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<tr><td class="tr-caption" style="text-align: center;">From cold start, first three hours, ground track</td></tr>
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<tr><td class="tr-caption" style="text-align: center;">From cold start, first three hours, position</td></tr>
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<tr><td class="tr-caption" style="text-align: center;">From cold start, third hour, ground track</td></tr>
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<tr><td class="tr-caption" style="text-align: center;">From cold start, third hour, position</td></tr>
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The likes of Novatel, Trimble, Hemisphere, etc are not going to like it I suppose. On the other hand, users have perhaps a cheaper option to enter the high-precision domain.<br />
<h4>
2. RTL-SDR</h4>
For once, the group of innovators is European.<br />
These guys of <a href="http://sdr.osmocom.org/trac/" target="_blank">osmocom</a> are <b>smart </b>and -what's even better- their work with the open source team.<a href="http://sdr.osmocom.org/trac/wiki/rtl-sdr" target="_blank"> RTL-SDR</a> is, I believe, one of the freshest finds in the Software Defined Radio domain. The <a href="http://www.funcubedongle.com/" target="_blank">Fun Cube Dongle</a>, developed in UK, is already a very clever tool. But finding the super-tuner <a href="http://www.elonics.com/" target="_blank">Elonics</a> E4000 (note, again a UK Company) in <a href="http://www.reddit.com/r/RTLSDR/comments/rbqfz/rtlsdr_compatibility_list_work_in_progress_please/" target="_blank">25$ USB DVB-T dongles</a> and being able to grab data in a 3MHz bandwidth between 64MHz and 1.7GHz... that is really cool.<br />
<br />
I had to buy one! ...actually two before I found the E4000..<br />
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<tr><td style="text-align: center;"><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEiSjYqLQXAef5qfArmmpQVTKkzkddrYkvXNu4P7u3vY7m6cR3e0LLDAlvfaoogn4zcnMeqaYSjwjHHMqF1W10lcSUmG5iLlNk5BcGHhfC71CgpseWsxnC73mL8s51rdDFotSemHNKtGWoc/s1600/fc0012.JPG" imageanchor="1" style="margin-left: auto; margin-right: auto;"><img border="0" height="122" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEiSjYqLQXAef5qfArmmpQVTKkzkddrYkvXNu4P7u3vY7m6cR3e0LLDAlvfaoogn4zcnMeqaYSjwjHHMqF1W10lcSUmG5iLlNk5BcGHhfC71CgpseWsxnC73mL8s51rdDFotSemHNKtGWoc/s400/fc0012.JPG" width="400" /></a></td></tr>
<tr><td class="tr-caption" style="text-align: center;">A <a href="http://www.terratec.net/en/products/Cinergy_T_Stick_Black_107611.html" target="_blank">Terratec Cinergy T Stick Black</a> rev.1, with the FC0012 which <a href="http://fc0012-sdr.blogspot.com.au/" target="_blank">is not suitable for GPS</a></td></tr>
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<tr><td class="tr-caption" style="text-align: center;">A <a href="http://www.aliexpress.com/product-gs/529362891-Mini-USB-DVB-T-TV-Tuner-Support-FM-DAB-MPEG-2-MPEG-4-H-264-TV28T-wholesalers.html" target="_blank">Newsky TV28T</a>, with the E4000.</td></tr>
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<br />
The Realtek RTL2832U demodulator uses a 28.8MHz crystal by default.. which has too poor accuracy for a GPS receiver.. but a SDR acquisition algorithm can easily handle 100+kHz of apparent Doppler shift in the frequency search :)<br />
So for a nominal sky plot as the one below:<br />
<br />
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<br />
And a signal looking like as follows:<br />
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<tr><td class="tr-caption" style="text-align: center;">Power spectrum around GPS L1, FS=2.728MHz</td></tr>
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<tr><td class="tr-caption" style="text-align: center;">The ADC is saturated.. the gain I set was too high.</td></tr>
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<br />
I could acquire the following birds:<br />
<br />
<div style="font-family: "Courier New",Courier,monospace;">
<span style="font-size: x-small;">SV 9: Doppler +112000.0 CodeShift: 99 xcorr: 553566.6<br />SV12: Doppler +113500.0 CodeShift: 502 xcorr: 301126.3<br />SV15: Doppler +110000.0 CodeShift: 1847 xcorr: 871305.9<br />SV17: Doppler +110500.0 CodeShift: 2225 xcorr: 401100.6<br />SV18: Doppler +110000.0 CodeShift: 38 xcorr: 368766.1<br />SV26: Doppler +107000.0 CodeShift: 1779 xcorr: 511844.4<br />SV27: Doppler +110500.0 CodeShift: 264 xcorr: 650033.9<br />SV28: Doppler +107500.0 CodeShift: 203 xcorr: 320405.6</span></div>
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The next step is to have my new version of GPS-SDR processing the data in real-time.. won't be long!<br />
I managed to upload the binary file which is long enough for everyone with a SDR receiver to calculate the position. I used FS=2.048MHz and a nominal IF of 0.0Hz (but because of the crystal inaccuracy the IF actually falls at about 110kHz). The data type is I&Q interleaved int8_t.<br />
<br />
<div style="font-family: "Courier New",Courier,monospace;">
<span style="font-size: x-small;">https://rapidshare.com/files/558977948/20120415_1714BST_fs2048_iq8.001.dat</span></div>
<div style="font-family: "Courier New",Courier,monospace;">
<span style="font-size: x-small;">https://rapidshare.com/files/2431212520/20120415_1714BST_fs2048_iq8.002.dat</span><br />
<span style="font-size: x-small;">https://rapidshare.com/files/4187716662/20120415_1714BST_fs2048_iq8.003.dat</span><br />
<span style="font-size: x-small;">https://rapidshare.com/files/107864226/20120415_1714BST_fs2048_iq8.004.dat </span><br />
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<h4>
3. Open source FPGA receivers</h4>
I waited too long for the code from the University of Tampere: they were promising to licence the <a href="http://www.tkt.cs.tut.fi/research/gnss/" target="_blank">TUTGNSS</a> and never happened.<br />
Finally the Open Source community is bringing to the reality an Open Source FPGA implementation of a GPS receiver based on the <a href="http://www.gmat.unsw.edu.au/namuru/" target="_blank">Namuru</a> / <a href="http://www.zarlink.com/zarlink/gp2021-datasheet-aug2005.pdf" target="_blank">Zarlink GP2021</a> correlator structure and soft CPU cores (the <a href="http://www.latticesemi.com/products/intellectualproperty/ipcores/mico32/index.cfm" target="_blank">LatticeMico32</a> <a href="http://en.qi-hardware.com/wiki/Milkymist_One" target="_blank"> Milkymist</a> and the Altera <a href="http://www.altera.com/devices/processor/nios2/ni2-index.html" target="_blank">NiosIIe</a>). As also scientists at the University of Tokio (remember RTKLIB?) are involved, this time I know it is going to happen.<br />
Some useful links:<br />
<a href="http://gnss-sdr.ru/index.php?blogid=2">http://gnss-sdr.ru/index.php?blogid=2</a> <br />
<a href="http://en.qi-hardware.com/wiki/GPS_Free_Stack">http://en.qi-hardware.com/wiki/GPS_Free_Stack</a><br />
<a href="http://blog.goo.ne.jp/osqzss/">http://blog.goo.ne.jp/osqzss/</a><br />
<br />
Stay tuned, GNSS is evolving rapidly!<br />
<br />Michelehttp://www.blogger.com/profile/03657889163945060210noreply@blogger.com37tag:blogger.com,1999:blog-5679825113811261335.post-7650597116169999352012-02-20T06:25:00.000-08:002012-03-04T14:22:42.284-08:00Low cost RTK performance round-up<br />
Having done quite a bit work since the first <a href="http://www.onetalent-gnss.com/ideas/usb-hw-receivers/yuan10" target="_blank">Yuan10</a> was built, I think it's time to write a small summary.<br />
<br />
I recently put up a <a href="http://www.navxperience.com/download/3G_C_english.pdf" target="_blank">navXperience 3G+C antenna</a> that will serve as reference for all future RTK work in this area. With the support of the reference station <a href="http://www.dic.unipi.it/MasterGPSPisa/" target="_blank">University of Pisa</a> and their reference observations at 0.2Hz I run RTKLIB (RTKNAVI and RTKPOST) for several days using several low-cost receivers that I assembled.<br />
This should be somehow considered the best possible scenario, having a short 1.5Km baseline.. nevertheless the results are quite exciting I believe.<br />
<br />
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<b>Figure 1: <a href="http://www.onetalent-gnss.com/ideas/usb-hw-receivers/yuan10" target="_blank">Yuan10</a>: Skytraq S1315F-RAW</b></td></tr>
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<br />
The plots above show solving of the integer ambiguities in about 5 minutes and reaching an accuracy of about 4cm square.<br />
<br />
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<tr><td class="tr-caption" style="text-align: center;"><b>Figure 2: <a href="http://www.onetalent-gnss.com/ideas/usb-hw-receivers/rappen10" target="_blank">Rappen10</a> mMCX version: uBlox NEO-6P (RTK mode)</b></td></tr>
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<br />
Again, the NEO-6P brings the position down to 4cm square accuracy in less than 10 minutes.<br />
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<tr><td style="text-align: center;"><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjQvguT-swESFADBwtZQtlpjHJgN_SKaIAVCX0iX_PeoGKUEpgBM_FGVyBBvZoapBwHob4ZDOrgIDAiRI_9nvpCuUQItd7LOPcRglToYl8OsqDTzBrGe2cIOvQMpjieCVOOekWFW54RfdE/s1600/Denga10.jpg" imageanchor="1" style="margin-left: auto; margin-right: auto;"><img border="0" height="150" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjQvguT-swESFADBwtZQtlpjHJgN_SKaIAVCX0iX_PeoGKUEpgBM_FGVyBBvZoapBwHob4ZDOrgIDAiRI_9nvpCuUQItd7LOPcRglToYl8OsqDTzBrGe2cIOvQMpjieCVOOekWFW54RfdE/s200/Denga10.jpg" width="200" /></a></td></tr>
<tr><td class="tr-caption" style="text-align: center;"><b>Figure 3: <a href="http://www.onetalent-gnss.com/ideas/usb-hw-receivers/denga10" target="_blank">Denga10</a>: </b><b>NVS NV08C-CSM</b></td></tr>
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<br />
The NV08C-CSM solves the carrier phase integer ambiguities and also brings down the accuracy to about 4cm square.<br />
<br />
Each of these receivers has his specialty:<br />
<ul>
<li>the S1315F-RAW has 20Hz raw measurements update rate, which is still unmatched performance by other low-cost receivers</li>
<li>the uBlox NEO-6P has integrated PPP for high accuracy standalone mode, no other low-cost receivers claims that</li>
<li>the NVS NV08C-CSM has Glonass!</li>
</ul>
Cheers,<br />
Michele<br />
<br />
P.S.: I attached a trimmed version of the data used to obtain these results <a href="http://www.onetalent-gnss.com/downloads/120218_lowcostrtkperformance.7z" target="_blank">here</a>. Please note how the NVS observations are covered by NDA and therefore not included. <br />
<br />
P.P.S.: The latest FW from NVS (dated 27 Feb 2012) improves dramatically the quality of the NV08C-CSM raw measurements: results above are not representative anymore.<br />
<br />
<br />Michelehttp://www.blogger.com/profile/03657889163945060210noreply@blogger.com21tag:blogger.com,1999:blog-5679825113811261335.post-65388315155758844742012-01-01T05:25:00.000-08:002012-02-19T14:01:56.350-08:00Processing Galileo<br />
The first prototype of SdrNav20 is working these days to receive the Galileo signal in space.<br />
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<tr><td style="text-align: center;"><a href="http://www.blogger.com/goog_730506046"><img border="0" height="300" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjOLz6_2gGRBDeZBmoB5ExUjQ_yqQL1j0w654440dT9_RZpwWteOFQ7z0kR4k8yUTf8RFcJxVz1aqMV-ymnInGf7qaq0b6PfYiallUjKSrEHnGiJIR_LC-5eos7CIaijw-zHheYSu6V3QA/s400/SdrNav20.JPG" width="400" /><span id="goog_730506042"></span><span id="goog_730506043"></span></a></td></tr>
<tr><td class="tr-caption" style="text-align: center;"><b><a href="http://www.onetalent-gnss.com/ideas/software-defined-radio/sdrnav20" target="_blank">Figure 1: First SdrNav20 assembled prototype.</a></b></td></tr>
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<br />
Using a <a href="http://www.sparkfun.com/products/464" target="_blank">simple patch antenna</a>, the first acquisition done using a 8MHz bandwidth reports the expected spectrum purity and signal properties.<br />
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<tr><td style="text-align: center;"><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhAImE_pfG1sl8sZYJXmNyLF6CF5PEqi8rwXCxa1TRONP9ExbVQ2CX_i-pibcB0maB65PItjctYlOfUotoAif_0w7n5j4-9yjXcrcty_Og9VbIIggEeZvcr_OkgRzTzYSxmkNZPhquIZmc/s1600/spec.png" style="margin-left: auto; margin-right: auto;"><img border="0" height="240" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhAImE_pfG1sl8sZYJXmNyLF6CF5PEqi8rwXCxa1TRONP9ExbVQ2CX_i-pibcB0maB65PItjctYlOfUotoAif_0w7n5j4-9yjXcrcty_Og9VbIIggEeZvcr_OkgRzTzYSxmkNZPhquIZmc/s320/spec.png" width="320" /></a></td></tr>
<tr><td class="tr-caption" style="text-align: center;"><b>Figure 2: Power spectrum of signal acquired on SdrNav20 channel 1. A bandwidth of 8MHz is wide enough for BOC(1,1), but not CBOC(6,1,1/11). A bandwidth limitation is anyway introduced by the antenna SAW filter as well.</b></td></tr>
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<tr><td class="tr-caption" style="text-align: center;"><b>Figure 3: Time series and histogram of the acquired signal. The gain of the satellite tuner was set to 60dB (RF) and 8dB (IF), which could not excite the second MSB of the MAX19505 ADC.</b></td></tr>
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The acquisition of Galileo PFM shows the typical BOC(1,1) correlation shape.:<br />
<table align="center" cellpadding="0" cellspacing="0" class="tr-caption-container" style="margin-left: auto; margin-right: auto; text-align: center;"><tbody>
<tr><td style="text-align: center;"><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhLhf7fvOY9aEYf3iU-fWQxvnB6CoTiuyem35XZTv-u0LfE1AWvSpC9x-QVeYnde30ttIfkWAwRbT0LQzS_OcW_I5I1J5xzRCYMv1Gzz42pMSHLD9cmc40SMylSOW6sSlh8HHI9uVTg6Bk/s1600/boc_734870.png" imageanchor="1" style="margin-left: auto; margin-right: auto;"><img border="0" height="240" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhLhf7fvOY9aEYf3iU-fWQxvnB6CoTiuyem35XZTv-u0LfE1AWvSpC9x-QVeYnde30ttIfkWAwRbT0LQzS_OcW_I5I1J5xzRCYMv1Gzz42pMSHLD9cmc40SMylSOW6sSlh8HHI9uVTg6Bk/s320/boc_734870.png" width="320" /></a></td></tr>
<tr><td class="tr-caption" style="text-align: center;"><b>Figure 4: BOC(1,1) correlation shape, averaged on 100 codes (400ms).</b></td><td class="tr-caption" style="text-align: center;"><br /></td></tr>
</tbody></table>
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A short file (for anybody to try his/her own acquisition) can be found <a href="https://rapidshare.com/files/2007425720/lb1-fs26e6_fif56e3_bw85e5_interleavediq_pfm.7z" target="_blank">here.</a> </div>
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EDIT 27/12/2012: Acquiring with SdrNav20 Galileo-FM2 (Galileo-PFM seemed momentarily disabled)</div>
<table align="center" cellpadding="0" cellspacing="0" class="tr-caption-container" style="margin-left: auto; margin-right: auto; text-align: center;"><tbody>
<tr><td style="text-align: center;"><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjjgL7IiYxnU5UgNI0OaXW14zIz3Wx5LwuA8V71W0snLwTrd8xxcuuiBo-2PlKXLWcjJfvbwuMAcuf46-tTNV48uhrS4xcfJaelVpdpsb3fslfLGoJbGaOHROVFWCzDiXChTEkngAwdUDE/s1600/boc_734898.png" imageanchor="1" style="margin-left: auto; margin-right: auto;"><img border="0" height="240" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjjgL7IiYxnU5UgNI0OaXW14zIz3Wx5LwuA8V71W0snLwTrd8xxcuuiBo-2PlKXLWcjJfvbwuMAcuf46-tTNV48uhrS4xcfJaelVpdpsb3fslfLGoJbGaOHROVFWCzDiXChTEkngAwdUDE/s320/boc_734898.png" width="320" /></a></td></tr>
<tr><td class="tr-caption" style="text-align: center;"><b>Figure 5: Galileo-FM2</b><b> E1 correlation shape, averaged on 100 codes (400ms).</b></td></tr>
</tbody></table>
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The messages on E1B looked good, but still dummy:</div>
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<span style="color: blue; font-family: "Courier New",Courier,monospace; font-size: xx-small;">a98e40000000002aaaaa4f4f2ffb8000<br />00955555555555555555555544790000<br />a98ec0000000002aaaaa5063173b8000<br />3f4a63d11ea372ec4d3b4f84dcbb0000<br />934ed3e1372ec4d3b4f83b4db6d54000<br />3f4a63f11ea372ec4d3b4f84dcbb0000<br />934ed3e1372ec4d3b4f803cb10954000<br />3f4a64111ea372ec4d3b4f84dcbb0000<br />934ed3e1372ec4d3b4f8225d9ad54000<br />00955555555555555555555544790000<br />a990c0000000002aaaaa4823ab3b8000<br />00955555555555555555555544790000<br />a99140000000002aaaaa6957e27b8000<br />3f4a64711ea372ec4d3b4f84dcbb0000<br />934ed3e1372ec4d3b4f80a454ed54000<br />3f4a64911ea372ec4d3b4f84dcbb0000<br />934ed3e1372ec4d3b4f803617e554000<br />3f4a64b11ea372ec4d3b4f84dcbb0000<br />934ed3e1372ec4d3b4f83be7d8154000<br />3f4a64d11ea372ec4d3b4f84dcbb0000<br />934ed3e1372ec4d3b4f813ff0c154000<br />3f4a64f11ea372ec4d3b4f84dcbb0000<br />934ed3e1372ec4d3b4f82b79aa554000<br />00955555555555555555555544790000<br />a99440000000002aaaaa6d48287b8000<br />00955555555555555555555544790000<br />a994c0000000002aaaaa726410bb8000<br />00955555555555555555555544790000<br />a99540000000002aaaaa531059fb8000<br />d3978d7c6c2e85281e379780ce9f8000</span></div>
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A sample file is <a href="https://rapidshare.com/files/973835265/lb1-fs26e6_fif56e3_bw85e5_interleavediq_fm2.7z" target="_blank">here</a>.</div>
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Adding to the above, SdrNav20 demonstrates acquisition of L2C and L5 (or Galileo E5a):</div>
<table align="center" cellpadding="0" cellspacing="0" class="tr-caption-container" style="margin-left: auto; margin-right: auto; text-align: center;"><tbody>
<tr><td style="text-align: center;"><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEis6wHRJQfubuHJw-OmxEjzZwmaUmEelDqHDZyNqyDTBnPbHFEJe_C2QA2W-MAT82MIJ2Z97dbcjyRGL3eoJMRavYnOk_bN_Od215Zg3FcqW9jh-wbFfKuDJZWZZi7aVcvs6KNj22xTlEk/s1600/gps_spec_iq.l2c.png" imageanchor="1" style="margin-left: auto; margin-right: auto;"><img border="0" height="240" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEis6wHRJQfubuHJw-OmxEjzZwmaUmEelDqHDZyNqyDTBnPbHFEJe_C2QA2W-MAT82MIJ2Z97dbcjyRGL3eoJMRavYnOk_bN_Od215Zg3FcqW9jh-wbFfKuDJZWZZi7aVcvs6KNj22xTlEk/s320/gps_spec_iq.l2c.png" width="320" /></a></td></tr>
<tr><td class="tr-caption" style="text-align: center;"><b>Figure 6: Power spectrum of L2C signal captured with SdrNav20</b></td></tr>
</tbody></table>
<table align="center" cellpadding="0" cellspacing="0" class="tr-caption-container" style="margin-left: auto; margin-right: auto; text-align: center;"><tbody>
<tr><td style="text-align: center;"><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgD2tFKbd5VzANOQKDAga20jwkAkht7Bo84ocaI9ntbOEcHd6WVF4r4STb2AsQvC_-ODayJZ8eFVOMba6bs6IjQB_ropaSyZ2u4SSBed0fQtBVlXYs4Ps4HwgKFzCp6KrqTEMXHCVBO538/s1600/gps_allchan_iq.l2c.png" imageanchor="1" style="margin-left: auto; margin-right: auto;"><img border="0" height="240" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgD2tFKbd5VzANOQKDAga20jwkAkht7Bo84ocaI9ntbOEcHd6WVF4r4STb2AsQvC_-ODayJZ8eFVOMba6bs6IjQB_ropaSyZ2u4SSBed0fQtBVlXYs4Ps4HwgKFzCp6KrqTEMXHCVBO538/s320/gps_allchan_iq.l2c.png" width="320" /></a></td></tr>
<tr><td class="tr-caption" style="text-align: center;"><b>Figure 7: Signal acquisition of GPS L2C signal (<a href="http://facility.unavco.org/general-info/gnss-modernization/gnss-modernization.html" target="_blank">only of enabled PRNs</a>)</b></td></tr>
</tbody></table>
<table align="center" cellpadding="0" cellspacing="0" class="tr-caption-container" style="margin-left: auto; margin-right: auto; text-align: center;"><tbody>
<tr><td style="text-align: center;"><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgOSUIUqFCNPFHKfuVRz6lpfs1UnGWpUkgUOqL4hjpmCyXlWWgvIpG0rTOofTkuzn_zT91brFbpyBPtAN8aIU3RPXBCStjbGtVts6YHkvMMAGfxDwk_s4rcKtGPsGkW8qETr8v9I9x5zX4/s1600/gps_spec_iq.l5.png" imageanchor="1" style="margin-left: auto; margin-right: auto;"><img border="0" height="240" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgOSUIUqFCNPFHKfuVRz6lpfs1UnGWpUkgUOqL4hjpmCyXlWWgvIpG0rTOofTkuzn_zT91brFbpyBPtAN8aIU3RPXBCStjbGtVts6YHkvMMAGfxDwk_s4rcKtGPsGkW8qETr8v9I9x5zX4/s320/gps_spec_iq.l5.png" width="320" /></a></td></tr>
<tr><td class="tr-caption" style="text-align: center;"><b>Figure 8: </b><b>Power spectrum of L5 signal captured with SdrNav20</b></td><td class="tr-caption" style="text-align: center;"><br /></td><td class="tr-caption" style="text-align: center;"><br /></td></tr>
</tbody></table>
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<table align="center" cellpadding="0" cellspacing="0" class="tr-caption-container" style="margin-left: auto; margin-right: auto; text-align: center;"><tbody>
<tr><td style="text-align: center;"><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhC3b__RT-ofv1IrYXUlI08a9BPSvO8UktK5Q0LYC8YII3QQ3pBdn68CC1aFrO6HrxZQM9ippUWgTckjFT1lWMT5n0IPgnOWn6cpFcbi44WuDXX8xQebjJilKlXvr_vMsA1iT74oP76NQQ/s1600/gps_allchan_iq.l5.png" imageanchor="1" style="margin-left: auto; margin-right: auto;"><img border="0" height="240" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhC3b__RT-ofv1IrYXUlI08a9BPSvO8UktK5Q0LYC8YII3QQ3pBdn68CC1aFrO6HrxZQM9ippUWgTckjFT1lWMT5n0IPgnOWn6cpFcbi44WuDXX8xQebjJilKlXvr_vMsA1iT74oP76NQQ/s320/gps_allchan_iq.l5.png" width="320" /></a></td></tr>
<tr><td class="tr-caption" style="text-align: center;"><b> Figure 9: Signal acquisition of GPS L5 signal (<a href="http://facility.unavco.org/general-info/gnss-modernization/gnss-modernization.html" target="_blank">only of enabled PRNs</a>) </b></td></tr>
</tbody></table>
<table align="center" cellpadding="0" cellspacing="0" class="tr-caption-container" style="margin-left: auto; margin-right: auto; text-align: center;"><tbody>
<tr><td style="text-align: center;"><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhEMOxJFxS0lSOwT4YPvO4cYQ3qTUPympGF2Z-eUgJG5WeIjWwLbcgX_EqLvzXDZXsWafbEfw4q2AZAZ199Bej-EjnA1Ahyphenhypheng0wkmGhIeTvwkI_2SnJuT_mYQSab9Q3roQsDgsGdW8iSmng/s1600/gal_e5a.png" imageanchor="1" style="margin-left: auto; margin-right: auto;"><img border="0" height="239" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhEMOxJFxS0lSOwT4YPvO4cYQ3qTUPympGF2Z-eUgJG5WeIjWwLbcgX_EqLvzXDZXsWafbEfw4q2AZAZ199Bej-EjnA1Ahyphenhypheng0wkmGhIeTvwkI_2SnJuT_mYQSab9Q3roQsDgsGdW8iSmng/s320/gal_e5a.png" width="320" /></a></td></tr>
<tr><td class="tr-caption" style="text-align: center;"><b>Figure 10: Signal acquisition of Galileo-PFM on E5a</b></td></tr>
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A couple of files for L2C and L5 are stored respectively <a href="https://rapidshare.com/files/281144026/l2_fs26e6_fif28571_bw8e6_interleavediq_pfm.7z" target="_blank">here </a>and <a href="https://rapidshare.com/files/1142402182/l5_fs26e6_fif-50e3_bw2e7_interleavediq_pfm.7z" target="_blank">here</a>. Please mind that L2C acquisition (without assistance) can be a long process given the length of the codes :)</div>
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Cheers!</div>
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Michele</div>
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P.S.: The file name is self-explicative: <b>fs </b>is sampling frequency, <b>fif </b>is intermediate frequency, <b>bw </b>is bandwidth, <b>interleaved I&Q </b>has 'int8_t' type samples (pretty much as the GN3Sv2 used to output).</div>Michelehttp://www.blogger.com/profile/03657889163945060210noreply@blogger.com15tag:blogger.com,1999:blog-5679825113811261335.post-72558553424889329542011-12-26T23:19:00.000-08:002011-12-26T23:35:34.489-08:00NVS08C-CSM, the first mass market receiver to track GalileoI would like to report the great work done by <a href="http://www.nvs-gnss.com/" target="_blank">NVS </a>which -to my knowledge- is the first Company to produce a mass market single frequency four constellation receiver tracking Galileo.<br />
<br />
<table align="center" cellpadding="0" cellspacing="0" class="tr-caption-container" style="margin-left: auto; margin-right: auto; text-align: center;"><tbody>
<tr><td style="text-align: center;"><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEj3xkDI3ViBT-kHm2Yer-ogkvWvPXIN4MrYvPtQe9MPf4it_OviHtKMNIgctocloZoffomyjyUVDJ9aKydezNEsLupPzBPanWhm1-3dq46O-V_khNpFcLiNjTCdp8OtQXxdkfEIp9Rt5Sk/s1600/storegis-Galileo.png" imageanchor="1" style="margin-left: auto; margin-right: auto;"><img border="0" height="243" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEj3xkDI3ViBT-kHm2Yer-ogkvWvPXIN4MrYvPtQe9MPf4it_OviHtKMNIgctocloZoffomyjyUVDJ9aKydezNEsLupPzBPanWhm1-3dq46O-V_khNpFcLiNjTCdp8OtQXxdkfEIp9Rt5Sk/s400/storegis-Galileo.png" width="400" /></a></td></tr>
<tr><td class="tr-caption" style="text-align: center;"><b>Figure 1: NVS <a href="http://www.nvs-gnss.com/support/soft/item/18-storegis.html" target="_blank">Storegis </a>displaying simultaneous tracking of GPS, Glonass, and Galileo PRN11 (in yellow)</b>.</td></tr>
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<br />
The receiver was flashed with a custom firmware kindly provided by the manufacturer to us on Boxing Day and was then perfectly able to track GALILEO-PFM (GSAT0101). Elevation and azimuth are -obviously- <br />
not measured as the satellite transmits dummy data and it's therefore marked as unhealthy right now.<br />
<br />
Other bespoke versions of the firmware enable tracking of GIOVE A and B or raw observables on all constellations, which shows the potential of this little module.<br />
<br />
Another good thing is that the NVS08C-CSM is easily available for purchase through NVS reps as well as here: <br />
<a href="http://it.farnell.com/nvs-technologies/nv08c-csm/receiver-sat-navigation-smt/dp/1902504">http://it.farnell.com/nvs-technologies/nv08c-csm/receiver-sat-navigation-smt/dp/1902504</a><br />
<br />
Merry Christmas to all the GNSS community!<br />
<br />
All the best,<br />
Michele<br />
<br />Michelehttp://www.blogger.com/profile/03657889163945060210noreply@blogger.com2tag:blogger.com,1999:blog-5679825113811261335.post-36667588691334310492011-08-29T00:48:00.000-07:002011-11-20T23:41:16.295-08:00Is SiRF really bringing back carrier phase?<div style="font-family: inherit;">
Lately I have been witnessing people reporting about getting carrier phase from various SiRF GSD4e receivers, such as Navman and OriginGPS. </div>
<div style="font-family: inherit;">
There is a moltitude of SiRF IV receivers out there, and the list below is not exhaustive:</div>
<br />
<br />
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<td><table align="center" cellpadding="0" cellspacing="0" class="tr-caption-container" style="font-family: inherit; margin-left: auto; margin-right: auto; text-align: center;"><tbody>
<tr><td style="text-align: center;"><b><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEimW4J7MOBWn0OSxKE9O5WWFZUPBFfcIc-CBWZ9n2218nQB2tnrYyWV8d1NgHFu081Xi-eiYp1nLb4LwujUON7ejLt7Ra8xUx-73vzYKgKNMG25LrffMhuX0sf3YxX_eKeO4FuSZnFMuXk/s1600/IT430new.jpg" imageanchor="1" style="margin-left: auto; margin-right: auto;"><img border="0" height="165" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEimW4J7MOBWn0OSxKE9O5WWFZUPBFfcIc-CBWZ9n2218nQB2tnrYyWV8d1NgHFu081Xi-eiYp1nLb4LwujUON7ejLt7Ra8xUx-73vzYKgKNMG25LrffMhuX0sf3YxX_eKeO4FuSZnFMuXk/s200/IT430new.jpg" width="200" /></a></b></td></tr>
<tr><td class="tr-caption" style="text-align: center;"><b><a href="http://www.fastraxgps.com/products/gpsmodules/400series/it430/">Fastrax IT430</a></b></td></tr>
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</td>
<td><table align="center" cellpadding="0" cellspacing="0" class="tr-caption-container" style="font-family: inherit; margin-left: auto; margin-right: auto; text-align: center;"><tbody>
<tr><td style="text-align: center;"><b><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEi1CxMV5WahKXTlnM4k5aR8AftCpeZ4LG9N6D4A2uu8CdTLpnTMWcxEJBbBQuGo-9F3-OXTY9CVikrAoH5dX0kZ2t_FdrsX2o8dQXODLHrAHJClCltdBxRWDislM1WaH6savZrNQoJNKp8/s1600/maestrow_XL.jpg" imageanchor="1" style="margin-left: auto; margin-right: auto;"><img border="0" height="182" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEi1CxMV5WahKXTlnM4k5aR8AftCpeZ4LG9N6D4A2uu8CdTLpnTMWcxEJBbBQuGo-9F3-OXTY9CVikrAoH5dX0kZ2t_FdrsX2o8dQXODLHrAHJClCltdBxRWDislM1WaH6savZrNQoJNKp8/s200/maestrow_XL.jpg" width="200" /></a></b></td></tr>
<tr><td class="tr-caption" style="text-align: center;"><b><a href="http://www.maestro-wireless.com/a-2100-a-b">Maestro Wireless A-2100</a></b></td></tr>
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<td><table align="center" cellpadding="0" cellspacing="0" class="tr-caption-container" style="font-family: inherit; margin-left: auto; margin-right: auto; text-align: center;"><tbody>
<tr><td style="text-align: center;"><b><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjDexPO3Cnv_H4ihVc0Lzs3NLJPxNbbJ46CKmnD-86k98-V9IfsRRYPNH0WIYPt0Y_bV7ey0V1OlY4X5KGyKKlZ9Al6Bj6aLtFGuQBKFDSBVMa7I8pBMsp-votICyeNVBjnWCB9UPtgAxg/s1600/ISM420_200x200.jpg" imageanchor="1" style="margin-left: auto; margin-right: auto;"><img border="0" height="200" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjDexPO3Cnv_H4ihVc0Lzs3NLJPxNbbJ46CKmnD-86k98-V9IfsRRYPNH0WIYPt0Y_bV7ey0V1OlY4X5KGyKKlZ9Al6Bj6aLtFGuQBKFDSBVMa7I8pBMsp-votICyeNVBjnWCB9UPtgAxg/s200/ISM420_200x200.jpg" width="200" /></a></b></td></tr>
<tr><td class="tr-caption" style="text-align: center;"><b><a href="http://inventeksys.accountsupport.com/store/ISM420.html">Inventek ISM420</a></b></td></tr>
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<tr><td style="text-align: center;"><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjIptgD1B0b9zgM7WuBkB8hiGd7hmge4AnB88I9FcugHSKRilMwFxrJQW6MU687tgNsoCeIt28rybuwNqOdm9ggKqOyKDFFUIkCvNIhR2nj4NfH8EByGV3Fo2A9uXX3aSrkswYy8xdBUx4/s1600/W2SG0084bb.jpg" imageanchor="1" style="margin-left: auto; margin-right: auto;"><img border="0" height="188" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjIptgD1B0b9zgM7WuBkB8hiGd7hmge4AnB88I9FcugHSKRilMwFxrJQW6MU687tgNsoCeIt28rybuwNqOdm9ggKqOyKDFFUIkCvNIhR2nj4NfH8EByGV3Fo2A9uXX3aSrkswYy8xdBUx4/s200/W2SG0084bb.jpg" width="200" /></a></td></tr>
<tr style="font-family: inherit;"><td class="tr-caption" style="text-align: center;"><b><a href="http://www.blogger.com/goog_1092785611"><span style="font-size: x-small;"></span></a></b><h1 style="background-color: white; color: black; font-style: normal; font-variant: normal; font-weight: normal; letter-spacing: normal; line-height: normal; margin: 0px; orphans: 2; padding: 0px; text-align: center; text-indent: 0px; text-transform: none; white-space: normal; widows: 2; word-spacing: 0px;">
<b><a href="http://www.wi2wi.com/navigation.php" target="_blank"><span style="font-size: x-small;">Wi2Wi W2SG0084i</span></a></b></h1>
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<tr>
<td><table align="center" cellpadding="0" cellspacing="0" class="tr-caption-container" style="font-family: inherit; margin-left: auto; margin-right: auto; text-align: center;"><tbody>
<tr><td style="text-align: center;"><b><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEiy4k7vh7gwyrRDVoJ9WuebuzDmJtFO0aHvl0M_YvrbPvF2DnuMZRk0kyMMCxvuHq5RuYhDKCnXE7rKxRlXGFbDF33ya-fVFLche9mScdW4uxVVrhYizOOQXk_TNfzvH3hW4NcJNcei4vE/s1600/MN8010_6197crop_2shrA.jpg" imageanchor="1" style="margin-left: auto; margin-right: auto;"><img border="0" height="196" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEiy4k7vh7gwyrRDVoJ9WuebuzDmJtFO0aHvl0M_YvrbPvF2DnuMZRk0kyMMCxvuHq5RuYhDKCnXE7rKxRlXGFbDF33ya-fVFLche9mScdW4uxVVrhYizOOQXk_TNfzvH3hW4NcJNcei4vE/s200/MN8010_6197crop_2shrA.jpg" width="200" /></a></b></td></tr>
<tr><td class="tr-caption" style="text-align: center;"><b><a href="http://www.micro-modular.com/gps.php?part=MN8010&go=brief">Micro-modular MN8010</a></b></td></tr>
</tbody></table>
</td>
<td><table align="center" cellpadding="0" cellspacing="0" class="tr-caption-container" style="font-family: inherit; margin-left: auto; margin-right: auto; text-align: center;"><tbody>
<tr><td style="text-align: center;"><b><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgCzBd0YCi50ES98SgKiCECYQCvP6pHkqD6mxG-dUy_dHn38-jXDqkz6GOIJt9jduCWW16d9xD0P1_ZW0wIVeyXxcAqu9di2wyuyYR4ujtVho1QsL8VwUfvEJ7_1EL4tAP9gNarF1O-Mi0/s1600/ORG4472_U1310.png" imageanchor="1" style="margin-left: auto; margin-right: auto;"><img border="0" height="145" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgCzBd0YCi50ES98SgKiCECYQCvP6pHkqD6mxG-dUy_dHn38-jXDqkz6GOIJt9jduCWW16d9xD0P1_ZW0wIVeyXxcAqu9di2wyuyYR4ujtVho1QsL8VwUfvEJ7_1EL4tAP9gNarF1O-Mi0/s200/ORG4472_U1310.png" width="200" /></a></b></td></tr>
<tr><td class="tr-caption" style="text-align: center;"><b><a href="http://www.origingps.com/product.aspx?pid=74">OriginGPS ORG4472</a></b></td></tr>
</tbody></table>
</td>
</tr>
<tr>
<td><br />
<table align="center" cellpadding="0" cellspacing="0" class="tr-caption-container" style="font-family: inherit; margin-left: auto; margin-right: auto; text-align: center;"><tbody>
<tr><td style="text-align: center;"><b><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEipPvbXCk-qiIl_An8AvKxrnGeBrUu52DxlU3zI9Sz7HIfnvkL_wsq2W_ITt-IJgcvUCfHsb4rxZlPPsF7qvpIyggMkTFzewdFnYm3aDu7ppw4UGFdwWVT2W3pIcGxsPU5lGH9q4qIfOws/s1600/S4-0606.jpg" imageanchor="1" style="margin-left: auto; margin-right: auto;"><img border="0" height="92" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEipPvbXCk-qiIl_An8AvKxrnGeBrUu52DxlU3zI9Sz7HIfnvkL_wsq2W_ITt-IJgcvUCfHsb4rxZlPPsF7qvpIyggMkTFzewdFnYm3aDu7ppw4UGFdwWVT2W3pIcGxsPU5lGH9q4qIfOws/s200/S4-0606.jpg" width="200" /></a></b></td></tr>
<tr><td class="tr-caption" style="text-align: center;"><b><a href="http://www.locosystech.com/product.php?zln=en&id=68">Locosys Technologies S4-0606</a></b></td></tr>
</tbody></table>
</td>
<td><table align="center" cellpadding="0" cellspacing="0" class="tr-caption-container" style="font-family: inherit; margin-left: auto; margin-right: auto; text-align: center;"><tbody>
<tr><td style="text-align: center;"><b><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgeaf324PRLWi9tJGZEkiXmzUkAceo6stLaEpFLfZ8UbF1HMUEIME7ixIa-p2SbnDioqHxAtiMbEH1X0MtTiJrIfKGyzbj9tFGq_JI8z3NjQd8_j05jUrMQreVgIYeDxiHVaJD4mi0Zhkc/s1600/jupiter_f2_gps_module.jpg" imageanchor="1" style="margin-left: auto; margin-right: auto;"><img border="0" height="195" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgeaf324PRLWi9tJGZEkiXmzUkAceo6stLaEpFLfZ8UbF1HMUEIME7ixIa-p2SbnDioqHxAtiMbEH1X0MtTiJrIfKGyzbj9tFGq_JI8z3NjQd8_j05jUrMQreVgIYeDxiHVaJD4mi0Zhkc/s200/jupiter_f2_gps_module.jpg" width="200" /></a></b></td></tr>
<tr><td class="tr-caption" style="text-align: center;"><b><a href="http://navmanwirelessoem.com/Jupiter-F2.html">Navman Wireless Jupiter J-F2</a></b></td></tr>
</tbody></table>
</td>
</tr>
</tbody></table>
<br />
<div style="font-family: inherit;">
Thanks to Димма on a Russian Geodesy blog, we have a snapshot of data collected with SiRFLive2.0 (please forgive text wrapping):</div>
<blockquote style="font-family: inherit;">
<span style="font-size: x-small;"><br />
</span><br />
<span style="font-family: inherit; font-size: x-small;">SiRFLive Version: SiRFLive 2.0 Marketing<br />
Thursday, August 25, 2011<br />
PC: W037D299<br />
Physical Connection: UART<br />
SW Version: GSD4e_4.1.0-P1 12/20/2010 354 GSD4e<br />
DUT Name: <br />
28,0,860041386,25,3.8972801716003340e+005,2.5330147020331487e+007,1.8319525e+004,2.5330178622016661e+007,30000,191,27,27,27,27,27,27,27,27,27,27,1000,500,-4,0,0<br />
28,1,860041386,12,3.8972801716003340e+005,2.6510500006031543e+007,1.8745631e+004,2.6510516541034564e+007,30000,191,44,44,44,44,44,44,44,44,44,44,1000,500,-4,0,0<br />
28,2,860041386,2,3.8972801716003340e+005,2.7095735858978566e+007,1.8233168e+004,2.7095742224695239e+007,30000,191,45,45,45,45,45,45,45,45,45,45,1000,500,-4,0,0<br />
28,3,860041386,4,3.8972801716003340e+005,2.8811696972083870e+007,1.8818879e+004,2.8811729208855990e+007,30000,191,43,43,43,43,43,43,43,43,43,43,1000,500,-4,0,0<br />
28,4,860041386,10,3.8972801716003340e+005,2.9933113007417683e+007,1.7881320e+004,2.9933150167102419e+007,30000,191,41,41,41,41,41,41,41,41,41,41,1000,500,-4,0,0<br />
28,5,860041386,30,3.8972801716003340e+005,2.5056555168215591e+007,1.8287135e+004,2.5056605592962816e+007,30000,45,15,15,15,15,15,15,15,15,15,15,1000,500,0,50,0<br />
28,6,860041386,31,3.8972801716003340e+005,2.7253274315252494e+007,1.7911645e+004,2.7253302286751069e+007,30000,45,21,20,20,20,20,20,20,20,20,20,1000,500,-4,50,0<br />
64,2,25,16,2,0,860046711,2711796546,-2018378871,202101184,34,13,19486396,161,170064,14592,765,5295,127,0,373,37,19486200,8,0,0,1<br />
64,2,12,16,2,0,860045683,2711665022,-999316371,206803073,-1,9,19486396,93,88983,14592,243,263,236,0,419,19,19486200,6,0,0,1<br />
64,2,2,16,2,0,860044900,2711564712,590426562,201150408,2,7,19486396,58,34257,14592,209,-410,237,0,471,15,19486200,9,0,0,1<br />
64,2,4,16,2,0,860056748,2713081329,-637293933,207611290,1,2,19486396,178,173482,14592,200,328,229,0,384,20,19486200,9,0,0,1<br />
64,2,10,16,2,0,860052503,2712537904,-712001231,197268336,1,65534,19486396,206,199974,14592,-294,-424,231,0,340,16,19486200,14,0,0,1<br />
64,2,30,16,6,0,860048142,2711979654,-68870448,201744724,2,14,19486396,265,271360,14592,-1060,2049,-30,0,108,130,19486200,0,-1,0,1<br />
64,2,31,16,6,0,860053502,2712665770,-161848563,197604358,5,7,19486396,147,150528,14592,2103,-464,-38,0,83,165,19486200,8,0,0,1<br />
30,25,3.8972799999998091e+005,1.5076749765686795e+007,3.5933861764103957e+006,2.1542989468968987e+007,6.4299937762260811e+001,2.7401660794328523e+003,-4.9865148201605086e+002,1.5608991872749377e-005,1.5621511e-012,1,0.0000000e+000,0.0000000e+000,3.2923935e+000<br />
30,12,3.8972799999998091e+005,1.1884563679683834e+007,1.6291456387266476e+007,1.7384876625289034e+007,-1.1622553644346129e+002,2.1962242709684892e+003,-1.9626822261160808e+003,1.8102194566119174e-005,3.3094907e-012,1,0.0000000e+000,0.0000000e+000,4.2158856e+000<br />
30,2,3.8972799999998091e+005,6.2082524729776531e+006,1.8408282380763520e+007,1.8385535284110300e+007,-2.1201026021377620e+003,-9.3213884708925502e+002,1.6059507862227920e+003,3.5292745438883114e-004,4.0546915e-012,1,0.0000000e+000,0.0000000e+000,4.7821899e+000<br />
30,4,3.8972799999998091e+005,-1.0762067066920688e+007,1.1736652988876456e+007,2.1071583778895516e+007,-2.3825680363444444e+003,-1.3365420890936439e+003,-4.3364700696691807e+002,2.1170121762251255e-004,9.2645414e-012,1,0.0000000e+000,0.0000000e+000,6.5737190e+000<br />
30,10,3.8972799999998091e+005,-9.8302346586159449e+006,2.0084912631979931e+007,1.3816020695044205e+007,-2.8794790172300321e+002,-1.8082575793544818e+003,2.4235822198007645e+003,-1.1038774409012209e-005,-4.5888042e-012,1,0.0000000e+000,0.0000000e+000,9.3115501e+000<br />
30,30,3.8972799999998091e+005,1.5365798544428909e+007,2.2397196288039838e+006,2.1188563043022357e+007,3.0218839841904361e+002,2.7624647015425176e+003,-5.0214592859035730e+002,9.1548491532589152e-005,-3.8803110e-012,4,4.0960000e+005,1.0816000e+004,3.2914379e+000<br />
30,31,3.8972799999998091e+005,7.1807381854674015e+006,-1.3033520067140032e+007,2.2198544705630817e+007,2.4188392313643085e+003,1.3389951664065002e+003,2.4421316559121053e+001,1.3109461800722862e-004,9.3347006e-012,4,4.0960000e+005,1.0816000e+004,4.2912688e+000<br />
41,0,516,1650,389728000,2011,8,25,12,15,13000,16779786,577739216,142115489,22129,18638,21,0,19942,0,0,0,2504,2291,0,1,514445417,0,1830720,0,0,0,0,5,23,8<br />
4,626,38972800,12,2,86,42,191,46,46,45,45,45,45,45,45,45,45,10,62,6,191,41,41,41,41,41,41,41,41,41,41,12,107,50,191,44,44,44,44,44,44,44,43,43,43,30,219,83,45,15,15,15,15,15,15,15,15,15,14,4,38,18,191,44,44,43,43,43,43,43,43,43,43,25,185,85,191,27,27,27,27,27,27,27,26,26,26,31,300,40,45,21,21,21,21,20,20,20,20,20,20,29,215,50,0,0,0,0,0,0,0,0,0,0,0,14,240,16,0,0,0,0,0,0,0,0,0,0,0,9,156,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0<br />
2,3305164,837044,5372540,0.000,0.000,0.000,4,4.6,2,626,38972800,5,25,12,2,4,10,0,0,0,0,0,0,0<br />
9,0,0,0,0<br />
7,1650,389728,5,96205,17160052,389727999<br />
50,0,0,18,0,0</span></blockquote>
<div style="font-family: inherit;">
As this is a fantastic opportunity for people looking for a cheap RTK system, I am planning to have a further look into this. Any help and comments are appreciated!</div>
<div style="font-family: inherit;">
<br />
EDIT 11/09/26:<br />
I assembled Shilling20, a dual Origin GPS ORG4472 board<br />
<br />
<table align="center" cellpadding="0" cellspacing="0" class="tr-caption-container" style="margin-left: auto; margin-right: auto; text-align: center;"><tbody>
<tr><td style="text-align: center;"><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhug0kqqK1QmbpQR2w5Hb-Au-RB-xFMj39NuPtD3nxjy2z30ttvH8PWFixbIdDahTjYL6kjdg2kI9DStyoE3RKfSA6kfp6P6QWpadOW7bFtbYqj8ktQj40__UzFuI6Ah3edp5XiwXakiac/s1600/shilling20.JPG" style="margin-left: auto; margin-right: auto;"><img border="0" height="240" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhug0kqqK1QmbpQR2w5Hb-Au-RB-xFMj39NuPtD3nxjy2z30ttvH8PWFixbIdDahTjYL6kjdg2kI9DStyoE3RKfSA6kfp6P6QWpadOW7bFtbYqj8ktQj40__UzFuI6Ah3edp5XiwXakiac/s320/shilling20.JPG" width="320" /></a></td></tr>
<tr><td class="tr-caption" style="text-align: center;">Figure1: Dual GSD4e (ORG4472) assembly, for short baseline applications.</td><td class="tr-caption" style="text-align: center;"><br /></td><td class="tr-caption" style="text-align: center;"><br /></td><td class="tr-caption" style="text-align: center;"><br /></td></tr>
</tbody></table>
<br />
And seems that both receivers, with firmware <span class="Apple-style-span" style="background-color: white; color: black; font-family: arial,sans-serif; font-size: 13px; font-style: normal; font-variant: normal; font-weight: normal; letter-spacing: normal; line-height: normal; orphans: 2; text-indent: 0px; text-transform: none; white-space: normal; widows: 2; word-spacing: 0px;"> </span><br />
<span class="Apple-style-span" style="background-color: white; color: black; font-family: arial,sans-serif; font-size: 13px; font-style: normal; font-variant: normal; font-weight: normal; letter-spacing: normal; line-height: normal; orphans: 2; text-indent: 0px; text-transform: none; white-space: normal; widows: 2; word-spacing: 0px;">GSD4e_4.0.4-P1 08/13/2010 225 GSD4e</span><br />
Output RAW measurements: pseudorange, carrier phase, Doppler, etc. MID64.2 is also preent. More to come soon.<br />
<br /></div>
<div style="font-family: inherit;">
Cheers,</div>
<div style="font-family: inherit;">
Michele</div>
<div style="font-family: inherit;">
</div>Michelehttp://www.blogger.com/profile/03657889163945060210noreply@blogger.com20Pisa, Italy43.7161354 10.396584343.5325099 10.080727300000001 43.8997609 10.7124413tag:blogger.com,1999:blog-5679825113811261335.post-73481534232342202052011-04-10T15:38:00.000-07:002011-12-07T08:25:23.943-08:00The benefit of Glonass?Another study I am carrying out is how much benefit the availability of <a href="http://en.wikipedia.org/wiki/GLONASS">Glonass </a>satellites really brings. Low-cost dual constellation GPS-Glonass standalone receiver are starting to show up in the market: <a href="http://www.skytraq.com.tw/products.htm">Skytraq</a> released the S4554GNS-LP and the S2525G2F, and <a href="http://www.nvstech.ch/">NVS </a>is soon coming out with their <a href="http://www.innovelec.co.uk/uploads/docs/NV08C-CSM%20leaflet%2008.07.10.pdf">NV08C</a>.<br />
<br />
Well, I assembled a few S455GNS-LP on a carrier board:<br />
<br />
<table align="center" cellpadding="0" cellspacing="0" class="tr-caption-container" style="margin-left: auto; margin-right: auto; text-align: center;"><tbody>
<tr><td style="text-align: center;"><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhYSokIpXnROSfXGNFDUTrtE5u2ZTgzHnYBDQ2xBVK8JjsrHZ2emxNgZfS0cz2smGx-6mKXGOluzHa6-ffD9eJewCmli31htSZi9gXuv2V_T8sz4yrElsCruS56_1GPb33IzJP2-dcTq_s/s1600/Kopeke10_08.jpg" imageanchor="1" style="margin-left: auto; margin-right: auto;"><img border="0" height="261" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhYSokIpXnROSfXGNFDUTrtE5u2ZTgzHnYBDQ2xBVK8JjsrHZ2emxNgZfS0cz2smGx-6mKXGOluzHa6-ffD9eJewCmli31htSZi9gXuv2V_T8sz4yrElsCruS56_1GPb33IzJP2-dcTq_s/s320/Kopeke10_08.jpg" width="320" /></a></td></tr>
<tr><td class="tr-caption" style="text-align: center;"><b>Figure 1: Kopeke10 USB GPS-GLonass receiver</b></td></tr>
</tbody></table>
..and drove in the countryside doing some tests.<br />
<br />
<table align="center" cellpadding="0" cellspacing="0" class="tr-caption-container" style="margin-left: auto; margin-right: auto; text-align: center;"><tbody>
<tr><td style="text-align: center;"><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEisaWLDIKXZEHZRArVwfLLE1tetO2ThBH37tLL-qDlSjakMyKZ8Mp-E3hAB4UOQSMS7nf-JlPWsQ9tr0TXx1sUHMP9w15AN0kWO0c5uqEekfEjcAaveSb-PUwOv-x9KceTgg_3dhNK33Fk/s1600/carback2.jpg" imageanchor="1" style="margin-left: auto; margin-right: auto;"><img border="0" height="224" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEisaWLDIKXZEHZRArVwfLLE1tetO2ThBH37tLL-qDlSjakMyKZ8Mp-E3hAB4UOQSMS7nf-JlPWsQ9tr0TXx1sUHMP9w15AN0kWO0c5uqEekfEjcAaveSb-PUwOv-x9KceTgg_3dhNK33Fk/s320/carback2.jpg" width="320" /></a></td></tr>
<tr><td class="tr-caption" style="text-align: center;"><b>Figure 2: Test drive with two dual constellation antennas: </b><b>a non-branded one (20EUR, left) and </b><b>a Tallysman TW2400 (80EUR, right).</b></td><td class="tr-caption" style="text-align: center;"><br /></td></tr>
</tbody></table>
On the left antenna I had:<br />
- a S1315F-RAW<br />
- a S4554GNS-LP<br />
<br />
on the right antenna I had:<br />
- a uBlox LEA-5H evaluation kit<br />
- a S1315F-RAW<br />
- a S4554GNS-LP<br />
<br />
So that I would make sure to test my receivers with both antennas and compare them against a good reference. Some preliminary results are shown below. <br />
<br />
<table cellpadding="0" cellspacing="0" class="tr-caption-container" style="float: left; margin-right: 1em; text-align: left;"><tbody>
<tr><td style="text-align: center;"><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhT6cISArW5e2WJocWEU2vb7-w-K-njScKuwnidy1WxnI485XciHflorN5vK2bGgVu6vFAKEvb9a5zP5w-l6BzqSsLxTlUaYjr4W5sUR0gRprwNbB1-3zE2Am2M4c7oc_3XJys1nyInqYM/s1600/test1.jpg" imageanchor="1" style="clear: left; margin-bottom: 1em; margin-left: auto; margin-right: auto;"><img border="0" height="217" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhT6cISArW5e2WJocWEU2vb7-w-K-njScKuwnidy1WxnI485XciHflorN5vK2bGgVu6vFAKEvb9a5zP5w-l6BzqSsLxTlUaYjr4W5sUR0gRprwNbB1-3zE2Am2M4c7oc_3XJys1nyInqYM/s320/test1.jpg" width="320" /></a></td></tr>
<tr><td class="tr-caption" style="text-align: center;"><b>Figure 3. The roundabout is always good to test how much filtering the PVT solution has. Considering that Google Earth might not necessarily be super-accurate, all the receivers perform pretty well.</b></td></tr>
</tbody></table>
<br />
<table align="center" cellpadding="0" cellspacing="0" class="tr-caption-container" style="margin-left: auto; margin-right: auto; text-align: center;"><tbody>
<tr><td style="text-align: center;"><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEifh4TZFq-2soMqnnMDStCRbcAL6R8np4mtAyyzSlasQvJH-REtg7HBo_cqct6OlzK6kYlbPj1T0U9uF95oSMe6mGm4HRCI1_f1seNJqWO4VI8Xl_IhECulBS3TD6kj3QrROiUNEQtOlxo/s1600/test2.jpg" imageanchor="1" style="margin-left: auto; margin-right: auto;"><img border="0" height="217" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEifh4TZFq-2soMqnnMDStCRbcAL6R8np4mtAyyzSlasQvJH-REtg7HBo_cqct6OlzK6kYlbPj1T0U9uF95oSMe6mGm4HRCI1_f1seNJqWO4VI8Xl_IhECulBS3TD6kj3QrROiUNEQtOlxo/s320/test2.jpg" width="320" /></a></td></tr>
<tr><td class="tr-caption" style="text-align: center;"><b>Figure 4. Driving under a big junction does not affect the receivers very much. Well done!</b></td></tr>
</tbody></table>
<br />
<table align="center" cellpadding="0" cellspacing="0" class="tr-caption-container" style="margin-left: auto; margin-right: auto; text-align: center;"><tbody>
<tr><td style="text-align: center;"><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEirTJxNDx8S-GPFWgWHGsqY9TWySUB5BRW9rR6lhM2uGpMUv8lIX8vZR_E0ScXNLnXLO3kQ9I7xl841HbqQtJHRf3ZAjd3WMR0KivJpfVu354IabKIMgicjDUTeux0hSyV1WfjxbitBGjI/s1600/test3.jpg" imageanchor="1" style="margin-left: auto; margin-right: auto;"><img border="0" height="217" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEirTJxNDx8S-GPFWgWHGsqY9TWySUB5BRW9rR6lhM2uGpMUv8lIX8vZR_E0ScXNLnXLO3kQ9I7xl841HbqQtJHRf3ZAjd3WMR0KivJpfVu354IabKIMgicjDUTeux0hSyV1WfjxbitBGjI/s320/test3.jpg" width="320" /></a></td></tr>
<tr><td class="tr-caption" style="text-align: center;"><b>Figure 5. Uhm? What the heck is that? The Skytraq receiver obviously picked up quite a bit of multipath from the South-East building when I stopped. The good LEA-5H -on the same antenna- did not make a move, and neither the other S4554GNS-LP.</b></td><td class="tr-caption" style="text-align: center;"><br /></td><td class="tr-caption" style="text-align: center;"><br /></td><td class="tr-caption" style="text-align: center;"><br /></td></tr>
</tbody></table>
<br />
<table align="center" cellpadding="0" cellspacing="0" class="tr-caption-container" style="margin-left: auto; margin-right: auto; text-align: center;"><tbody>
<tr><td style="text-align: center;"><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEinw3kRnWlHgjF98QgYiNxJhw1AxFNiseUIYZovlrNlE9bWcS-QT68cfBZngMQ11E9Yc-qE3YTMdDUZsb8cYBo3XW1h58w-M36_pdpS9YHUTZbHnlYzf0H5FmV8Sraa3pyKT4Lcj8Ojmp4/s1600/test4.jpg" imageanchor="1" style="margin-left: auto; margin-right: auto;"><img border="0" height="216" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEinw3kRnWlHgjF98QgYiNxJhw1AxFNiseUIYZovlrNlE9bWcS-QT68cfBZngMQ11E9Yc-qE3YTMdDUZsb8cYBo3XW1h58w-M36_pdpS9YHUTZbHnlYzf0H5FmV8Sraa3pyKT4Lcj8Ojmp4/s320/test4.jpg" width="320" /></a></td></tr>
<tr><td class="tr-caption" style="text-align: center;"><b>Figure 6. Approching a parking slot just after the road bends, running along a bunch of trees. Multipath has again an interesting different effect on the receivers. But I am more likely to have parked where the uBlox said :) </b></td></tr>
</tbody></table>
<br />
I will soon add some results in urban environment, where having twice as many satellites should make a real difference.<br />
<br />
<br />
EDIT 26/08/2011:<br />
Recently, I went out again to compare data from the Sytraq S455GNS-LP and a NVS NV08C-CSM which I soldered onto a carrier board called Denga10 (shown below). The antenna was a low-cost GPS/Glonass magnet-mount patch.<br />
<br />
<table align="center" cellpadding="0" cellspacing="0" class="tr-caption-container" style="margin-left: auto; margin-right: auto; text-align: center;"><tbody>
<tr><td style="text-align: center;"><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEh7VyF5HwVcEmpHQdHRxT_hClW0_O_QzeeqdEb3TsRlnHdv5sTLqykWU-lKradr-M3Gc2gmiKnQWfjXecNfm_uoSobsW5h52KoKOAzoC8GxluTrlsTni08h9l8HwE4pbhOTgsr7GVkQ0Ug/s1600/Denga10_all3.jpg" imageanchor="1" style="margin-left: auto; margin-right: auto;"><img border="0" height="239" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEh7VyF5HwVcEmpHQdHRxT_hClW0_O_QzeeqdEb3TsRlnHdv5sTLqykWU-lKradr-M3Gc2gmiKnQWfjXecNfm_uoSobsW5h52KoKOAzoC8GxluTrlsTni08h9l8HwE4pbhOTgsr7GVkQ0Ug/s320/Denga10_all3.jpg" width="320" /></a></td></tr>
<tr><td class="tr-caption" style="text-align: center;"><b>Figure 7. Denga10 carrier board for NV08C-CSM</b> <b>GPS/Glonass receiver</b>.</td><td class="tr-caption" style="text-align: center;"><br /></td><td class="tr-caption" style="text-align: center;"><br /></td></tr>
</tbody></table>
<br />
NVS provides easy software to manage their receivers and translate what is a unconventional NMEA stream:<br />
<br />
<div style="font-family: "Courier New",Courier,monospace;">
<span style="font-size: x-small;">$GPGGA,203211.00,4340.7619,N,01020.8364,E,2,14,00.8,002.0,M,47.9,M,,*59<br />
$GPRMC,203211.00,A,4340.7619,N,01020.8364,E,00.00,218.2,020811,,,D*5B<br />
$GPGSV,4,1,13,03,65,155,48,06,53,140,47,11,32,282,44,14,24,117,41*7D<br />
$GPGSV,4,2,13,16,19,193,46,18,22,048,41,19,77,307,49,22,58,066,48*7B<br />
$GPGSV,4,3,13,24,21,268,41,32,14,210,40,33,33,214,43,37,38,164,41*7A<br />
$GPGSV,4,4,13,39,37,159,00*48<br />
$GLGSV,2,1,06,66,55,046,46,73,09,307,24,74,05,353,20,81,52,106,38*6C<br />
$GLGSV,2,2,06,82,62,338,44,83,12,313,01*6D<br />
$GNGSA,A,3,03,14,19,06,24,32,22,16,11,18,,,01.3,00.8,01.0*16<br />
$GNGSA,A,3,66,73,82,81,,,,,,,,,01.3,00.8,01.0*10<br />
$PORZD,A,002.8*36</span></div>
<br />
<table align="center" cellpadding="0" cellspacing="0" class="tr-caption-container" style="margin-left: auto; margin-right: auto; text-align: center;"><tbody>
<tr><td style="text-align: center;"><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEiotDw7w3k6zR33-XXkVOzXIyKcolCV7u0XDpuxmv0ZIg7R3xIMiffBucY9i_g6GSB_6MVTH6LTlx6Zi0M54bJ5NkyJMVLZEMn1K-gdCNO-xtOMC1ttdM3i4ZGMaTwxKZQeKiZ6FgBrLsU/s1600/NavisConverter.png" imageanchor="1" style="margin-left: auto; margin-right: auto;"><img border="0" height="320" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEiotDw7w3k6zR33-XXkVOzXIyKcolCV7u0XDpuxmv0ZIg7R3xIMiffBucY9i_g6GSB_6MVTH6LTlx6Zi0M54bJ5NkyJMVLZEMn1K-gdCNO-xtOMC1ttdM3i4ZGMaTwxKZQeKiZ6FgBrLsU/s320/NavisConverter.png" width="309" /></a></td></tr>
<tr><td class="tr-caption" style="text-align: center;"><b>Figure 8. Navis converter to generate a KML from the GPS/Glonass NMEA output of the NV08C-CSM</b></td><td class="tr-caption" style="text-align: center;"><br /></td></tr>
</tbody></table>
Also Skytraq is working hard and recently added a GNS Viewer to their software in order to allow customers to quickly evaluate what is again a non conventional NMEA stream:<br />
<br />
<div style="font-family: "Courier New",Courier,monospace;">
<span style="font-size: x-small;">$GNGNS,203211.170,4340.7630,N,01020.8350,E,AA,16,0.7,14.1,45.7,,0000*53<br />
$GNGSA,A,3,03,06,22,14,18,19,24,32,11,16,,,1.1,0.7,0.9*23<br />
$GNGSA,A,3,66,81,82,73,65,74,,,,,,,1.1,0.7,0.9*25<br />
$GPGSV,3,1,12,19,77,308,49,03,65,155,49,22,58,067,48,06,54,141,46*7B<br />
$GPGSV,3,2,12,11,32,283,44,14,24,118,40,18,23,049,41,24,21,268,40*71<br />
$GPGSV,3,3,12,16,19,194,46,32,14,210,40,28,02,333,,08,00,299,*79<br />
$GLGSV,3,1,09,82,62,338,44,66,56,047,47,81,52,106,37,83,12,314,15*6C<br />
$GLGSV,3,2,09,73,10,307,24,74,06,354,32,65,05,030,32,88,03,125,*6D<br />
$GLGSV,3,3,09,80,00,261,*51<br />
$GNRMC,203211.170,A,4340.7630,N,01020.8350,E,000.0,221.9,020811,,,A*7B<br />
$GNVTG,221.9,T,,M,000.0,N,000.0,K,A*1B</span></div>
<br />
<table align="center" cellpadding="0" cellspacing="0" class="tr-caption-container" style="margin-left: auto; margin-right: auto; text-align: center;"><tbody>
<tr><td style="text-align: center;"><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEizZW-X7bR5m_2zyFK9MhB3nyUU1_wGq2d0LHTYJaFn9zWCbxBqSzkVgGsmp7t5KLj0EaqrQiZgKX-XuH_SAysiBIG0eHwylPb52tUVGnPEW6wcjVVHE8I2bs5tGpKy19Kh8yiYZe6GOT4/s1600/SkytraqGNSViewer.png" imageanchor="1" style="margin-left: auto; margin-right: auto;"><img border="0" height="302" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEizZW-X7bR5m_2zyFK9MhB3nyUU1_wGq2d0LHTYJaFn9zWCbxBqSzkVgGsmp7t5KLj0EaqrQiZgKX-XuH_SAysiBIG0eHwylPb52tUVGnPEW6wcjVVHE8I2bs5tGpKy19Kh8yiYZe6GOT4/s400/SkytraqGNSViewer.png" width="400" /></a></td></tr>
<tr><td class="tr-caption" style="text-align: center;"><b>Figure 9. Skytraq GNS Viewer.</b></td></tr>
</tbody></table>
Some results are shown below. Seems that the NVS tends to filter a bit too much. Luckily it's possible to upgrade the firmware of these receivers and hopefully NVS has already worked on it to improve accuracy.<br />
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<a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEi10QurLjjVycqOzC7nnkM3jA9uCmGE9yfas0xZm7LEt3svYMfw0BA-WV_GqjC_B-Kp6yZxV1jP5tSh1XzqJflbkOvB9C1s8CYu9t_tYotfovEv7upfABQI3MMAeuafd4XoEQcmPbKACLA/s1600/SKYTRAQ-vs-NVS_00d.jpg" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"><img border="0" height="219" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEi10QurLjjVycqOzC7nnkM3jA9uCmGE9yfas0xZm7LEt3svYMfw0BA-WV_GqjC_B-Kp6yZxV1jP5tSh1XzqJflbkOvB9C1s8CYu9t_tYotfovEv7upfABQI3MMAeuafd4XoEQcmPbKACLA/s320/SKYTRAQ-vs-NVS_00d.jpg" width="320" /></a></div>
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<a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEiBRNOO5-Bf5Lroeyw0A22aLeNs7zLMJq5Toyg55a6lEALHL6LjKNDFGakEEU6sewWbsIiovC1JsKrgHBL_cK_pJc27846bwZ16GuuBfh8cQ8K5PC7LruYftNcv_ipskZaGhJ7rT3WJPi8/s1600/SKYTRAQ-vs-NVS_01d.jpg" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"><img border="0" height="219" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEiBRNOO5-Bf5Lroeyw0A22aLeNs7zLMJq5Toyg55a6lEALHL6LjKNDFGakEEU6sewWbsIiovC1JsKrgHBL_cK_pJc27846bwZ16GuuBfh8cQ8K5PC7LruYftNcv_ipskZaGhJ7rT3WJPi8/s320/SKYTRAQ-vs-NVS_01d.jpg" width="320" /></a></div>
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<a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgSqnNDITSNR05zs13dVojchdpCJkh98fRx-qd5eo8hLAKQFlMXKNzGGnotS0SjvdF5ExMKElG_DDP_IkGv05hBAOuZozDkcaLS_lX7PkDcWitA4YK9DCWxOmkQ6Vr_lEhBwJvb-ImZ_Yw/s1600/SKYTRAQ-vs-NVS_04d.jpg" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"><img border="0" height="219" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgSqnNDITSNR05zs13dVojchdpCJkh98fRx-qd5eo8hLAKQFlMXKNzGGnotS0SjvdF5ExMKElG_DDP_IkGv05hBAOuZozDkcaLS_lX7PkDcWitA4YK9DCWxOmkQ6Vr_lEhBwJvb-ImZ_Yw/s320/SKYTRAQ-vs-NVS_04d.jpg" width="320" /></a></div>
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<table align="center" cellpadding="0" cellspacing="0" class="tr-caption-container" style="margin-left: auto; margin-right: auto; text-align: center;"><tbody>
<tr><td style="text-align: center;"><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgDAJuHd9OzAeHULd0qlfA_WE0Susuji6k64AiFhsoUulPRzV-a6YND-UsQqOKnRJ3OAWS8bp9xrRXN6iwqE1Oe5UpjgL41n01syUFAWd3rl1A9-ocN2gIUx3YMudrXYYjfcwhLG1ssVBE/s1600/SKYTRAQ-vs-NVS_05d.jpg" imageanchor="1" style="margin-left: auto; margin-right: auto;"><img border="0" height="219" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgDAJuHd9OzAeHULd0qlfA_WE0Susuji6k64AiFhsoUulPRzV-a6YND-UsQqOKnRJ3OAWS8bp9xrRXN6iwqE1Oe5UpjgL41n01syUFAWd3rl1A9-ocN2gIUx3YMudrXYYjfcwhLG1ssVBE/s320/SKYTRAQ-vs-NVS_05d.jpg" width="320" /></a></td></tr>
<tr><td class="tr-caption" style="text-align: center;"><b>Figures 10. The NVS receiver tends to filter too much compared to the Skytraq.</b></td></tr>
</tbody></table>
<br />
<div style="color: red;">
EDIT 07/12/2011: NVS released recently a new firmware for their NVS08C-CSM. I will update Denga10 and have another test session very soon!</div>
<br />
Questions? <br />
<br />
To be continued (again),<br />
MicheleMichelehttp://www.blogger.com/profile/03657889163945060210noreply@blogger.com4tag:blogger.com,1999:blog-5679825113811261335.post-53439975009240647492011-04-10T10:01:00.000-07:002011-07-06T02:48:00.405-07:00Skytraq s1315f-raw (under the magnifying lens)Hi,<br />
<br />
Lately I have been working with one of the few mass market receivers which outputs raw observables: the Skytraq S1315F-RAW. The only other "low cost" alternative to it is the <a href="http://shop-emea.u-blox.com/">uBlox</a> LEA-4T, LEA-5T, and LEA-6T. <br />
<br />
My purpose was to assess its capabilities, to understand if there are applications in which this device can really be useful. I don't know the answer yet, but I can publish some preliminary results obtained with <a href="http://gpspp.sakura.ne.jp/rtklib/">RTKLIB</a>.<br />
<br />
So, I assembled a few of these on a board together with a <a href="http://www.ftdichip.com/Products/ICs/FT232R.htm">FT232RQ</a> UART-to-USB transceiver and run <a href="http://sourceforge.net/projects/cutecom/">Cutecom</a> on my Linux machine.<br />
<br />
<table align="center" cellpadding="0" cellspacing="0" class="tr-caption-container" style="margin-left: auto; margin-right: auto; text-align: center;"><tbody>
<tr><td style="text-align: center;"><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEj2wcmeorzcuHtZnirG24_JueNfoqme_JUH176oUhwpaRt1xIgYFbd3ukcMqBs-XWrGXeli8xnLat1Fu5MAI31twRbkJBz1zWuPa3mZ013wpaThAsRwhbSPaiFcw1P8-UybJiavcHmYCRU/s1600/Image0217.jpg" imageanchor="1" style="margin-left: auto; margin-right: auto;"><img border="0" height="156" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEj2wcmeorzcuHtZnirG24_JueNfoqme_JUH176oUhwpaRt1xIgYFbd3ukcMqBs-XWrGXeli8xnLat1Fu5MAI31twRbkJBz1zWuPa3mZ013wpaThAsRwhbSPaiFcw1P8-UybJiavcHmYCRU/s320/Image0217.jpg" width="320" /></a></td></tr>
<tr><td class="tr-caption" style="text-align: center;"><b>Figure 1: <a href="http://www.onetalent-gnss.com/products/usb-hw-receivers/yuan10">Yuan10 </a>20-Hz raw measurements GPS receiver.</b></td></tr>
</tbody></table><br />
To my surprise, this does not work like the uBlox chips, which can output both NMEA and binary. The S1315F-RAW only outputs binary data. <i>The news you don't read anywhere else is that the observations are taken at 20Hz, and do not include a PVT solution. </i>Also, the clock bias is let running free and therefore the measures can be quite far off (tens of milliseconds) the real GPS time.<br />
<br />
Ultimately I wanted to know what is the quality of the carrier phase, since this will tell if the receiver is fit for low-cost RTK applications.<br />
<br />
<br />
<b>Scenario 1: Zero Baseline, Open Sky</b><br />
<br />
<table align="center" cellpadding="0" cellspacing="0" class="tr-caption-container" style="margin-left: auto; margin-right: auto; text-align: center;"><tbody>
<tr><td style="text-align: center;"><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEiUCSCYO7ikN4Nu4y3QkbPJ3XDbYJ6g7WH11jaTbG7SU3XKbM8m6WrXON3x9eciWc5uf8LFm3qwzPA5FLl1_NJpWbzOSiiATqe3b47K_HsM4n9vilmGhrgSfsuwSp8Pbp9rHsk84fAzwzg/s1600/20110408_090000_s1315raw_zerob_nsl.png" imageanchor="1" style="margin-left: auto; margin-right: auto;"><img border="0" height="281" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEiUCSCYO7ikN4Nu4y3QkbPJ3XDbYJ6g7WH11jaTbG7SU3XKbM8m6WrXON3x9eciWc5uf8LFm3qwzPA5FLl1_NJpWbzOSiiATqe3b47K_HsM4n9vilmGhrgSfsuwSp8Pbp9rHsk84fAzwzg/s400/20110408_090000_s1315raw_zerob_nsl.png" width="400" /></a></td></tr>
<tr><td class="tr-caption" style="text-align: center;"><b>Figure 2: Zero baseline track results in 1 hour.</b></td><td class="tr-caption" style="text-align: center;"><br />
</td><td class="tr-caption" style="text-align: center;"><br />
</td></tr>
</tbody></table><table align="center" cellpadding="0" cellspacing="0" class="tr-caption-container" style="margin-left: auto; margin-right: auto; text-align: center;"><tbody>
<tr><td style="text-align: center;"><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjo4oDT35tAbrprmDbDtLsLSjPUuaHmyiszFbbt9jTeDkqIlQA4Lyx06JGZDkRpG_kcx_J2h1idxXuSWkppZAJuYVa1QYZkezP1lUpqbAYx_6j0kPju_SXjZV2a7IfhCvI4JUpSZsnYuAg/s1600/20110408_090000_s1315raw_zerob_nsl_1.png" imageanchor="1" style="margin-left: auto; margin-right: auto;"><img border="0" height="281" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjo4oDT35tAbrprmDbDtLsLSjPUuaHmyiszFbbt9jTeDkqIlQA4Lyx06JGZDkRpG_kcx_J2h1idxXuSWkppZAJuYVa1QYZkezP1lUpqbAYx_6j0kPju_SXjZV2a7IfhCvI4JUpSZsnYuAg/s400/20110408_090000_s1315raw_zerob_nsl_1.png" width="400" /></a></td></tr>
<tr><td class="tr-caption" style="text-align: center;"><b>Figure 3: Zero baseline ENU results in 1 hour.</b></td></tr>
</tbody></table><br />
<b>Scenario 2: Short (known) Baseline, Open Sky</b><br />
To be done still :)<b></b><br />
<br />
<b>Comparison 1: Orcam GPS-26 OEM (SiRF Star II)</b><br />
Using the board below I collected RAW observables (pseudorange, carrier phase, Doppler, and C/N0) from two SiRF Star II receivers.<br />
<br />
<table align="center" cellpadding="0" cellspacing="0" class="tr-caption-container" style="margin-left: auto; margin-right: auto; text-align: center;"><tbody>
<tr><td style="text-align: center;"><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjNguHnv4_WfhMosdxTC9RkfQM1j9-2ewXseY5-iIZ2ZsSceEt6xQj2_6zo3t3qRVIcsytW8bAWZF7tdAF6_Aw4pvMCxwuWrk7BbMIPIoqRbYmQ1Y1FfFKJHLJzeFrAT57Yn9OMAdeHjNs/s1600/Image0243.jpg" imageanchor="1" style="margin-left: auto; margin-right: auto;"><img border="0" height="259" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjNguHnv4_WfhMosdxTC9RkfQM1j9-2ewXseY5-iIZ2ZsSceEt6xQj2_6zo3t3qRVIcsytW8bAWZF7tdAF6_Aw4pvMCxwuWrk7BbMIPIoqRbYmQ1Y1FfFKJHLJzeFrAT57Yn9OMAdeHjNs/s320/Image0243.jpg" width="320" /></a></td></tr>
<tr><td class="tr-caption" style="text-align: center;"><b>Figure 4: Dual SiRF Star II receiver board assembly</b></td></tr>
</tbody></table>I wrote a simple SiRF binary to Rinex3 parser and the observations look like:<br />
<br />
<div style="font-family: "Courier New",Courier,monospace;"><span style="font-size: x-small;">> 2011 04 08 17 23 47.7684297 0 8 <br />
G26 50696315.376 1063480.948 91453.281 46.500 <br />
G17 51072993.018 1467528.376 86392.422 43.500 <br />
G27 48803613.805 2145210.883 87538.367 48.000 <br />
G09 48571516.433 925322.182 85910.797 50.000 <br />
G22 51765421.846 1955361.390 86170.438 40.800 <br />
G12 51568741.123 921796.354 84204.570 42.900 <br />
G28 51649721.912 1347484.069 90745.469 42.900 <br />
G15 48654575.927 1362007.686 89023.945 53.800 <br />
> 2011 04 08 17 23 48.7684297 0 8 <br />
G26 50713719.228 1154933.716 91452.766 46.000 <br />
G17 51089432.729 1553920.546 86392.164 43.000 <br />
G27 48820272.359 2232748.763 87537.875 47.900 <br />
G09 48587864.077 1011232.602 85910.422 50.400 <br />
G22 51781819.554 2041531.555 86170.164 41.000 <br />
G12 51584765.483 1006000.356 84204.008 42.900 <br />
G28 51666990.473 1438229.023 90744.961 42.900 <br />
G15 48671516.093 1451031.430 89023.742 53.300 <br />
> 2011 04 08 17 23 49.7684297 0 8 <br />
G26 50731122.086 1246383.916 91450.203 46.000 <br />
G17 51105869.630 1640310.413 86389.867 43.000 <br />
G27 48836930.232 2320284.139 87535.375 48.000 <br />
G09 48604211.074 1097140.644 85908.039 50.000 <br />
G22 51798218.833 2127699.431 86167.875 40.900 <br />
G12 51600789.059 1090201.716 84201.359 42.700 <br />
G28 51684257.464 1528971.343 90742.320 42.600 <br />
G15 48688455.438 1540052.871 89021.438 53.000 <br />
> 2011 04 08 17 23 50.7684297 0 8 <br />
G26 50748523.408 1337830.931 91447.016 46.300 <br />
G17 51122307.805 1726697.388 86386.977 43.100 <br />
G27 48853586.988 2407816.398 87532.266 48.100 <br />
G09 48620558.438 1183045.689 85905.047 50.000 <br />
G22 51814616.209 2213864.420 86164.992 40.800 <br />
G12 51616810.906 1174399.828 84198.109 42.300 <br />
G28 51701524.646 1619710.464 90739.117 43.000 <br />
G15 48705394.801 1629071.432 89018.555 53.000 </span></div><br />
but unfortunately RTKLIB refuses to process the raw measurements and I am still trying to work out why!<br />
<br />
Anyway, the first results with the S1315F-RAW seem promising enough, showing 2-3 cm errors in Kinematic mode. More will come on this post soon.<br />
<br />
Cheers,<br />
Michele<b><br />
</b>Michelehttp://www.blogger.com/profile/03657889163945060210noreply@blogger.com20tag:blogger.com,1999:blog-5679825113811261335.post-36231599421756291532011-02-20T12:53:00.000-08:002011-02-20T12:55:47.226-08:00A new adventure in GNSSHi,<br />
<br />
I am afraid nothing has happened on my GNSS blog for too long now, so I guess I should give some really big news this time ;)<br />
Well, I would love to write about my latest GNSS creation... but I am not allowed :(<br />
I hope this will not happen in the future... in fact, I am now working on a project called <a href="http://www.onetalent-gnss.com/"><b><i>One Talent GNSS</i></b></a>: a small business to provide GNSS consultancy and "gadgets".<br />
<div class="separator" style="clear: both; text-align: center;"><a href="http://www.onetalent-gnss.com/"><img border="0" height="320" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgqnKXr66bE9Hckn5smf052uEbOvcHASdARi2hm54HI9CzPKVfoTWfWhMn_SHBd2S1hDeFaKzH4T_a-fPqOZ0a7yocZmTECq62XtXxdFe-1-m7HgH1qSMSNaPU0yUK5fI02BRlog6vmdGo/s320/logo2.png" width="320" /></a></div>So, this blog will from now on tell more about products and achievements of this new e-Creature, which I hope to grow fast to the size of my passion and enthusiasm!<br />
Check it out regularly, we'll do our best not to disappoint you :)<br />
<br />
MicheleMichelehttp://www.blogger.com/profile/03657889163945060210noreply@blogger.com1tag:blogger.com,1999:blog-5679825113811261335.post-47599621120645522462010-11-12T08:48:00.000-08:002010-11-12T08:48:45.968-08:00Open source Software Defined Radio GPS receiverHello,<br />
<br />
Just a quick update to the people who are involved on gps-sdr.<br />
<a href="https://sites.google.com/site/michelesblank/20101112_primo_gps-sdr.tar.bz2">Here</a> is a version that (as far as I am aware) compiles on Ubuntu Lucid (32 and 64 bits).<br />
And if you don't have any of NSL's GNSS data grabber, <a href="http://rapidshare.com/files/430415769/101112_0928GMT_primo_fs5456_fif4092.dat.tar.bz2">here</a> is file captured with Primo which <i>should</i> give you a position in Nottingham :)<br />
<br />
Cheers,<br />
Michele<br />
<br />
<br />
P.S. Please note that I am not a maintainer of gps-sdr, so please do not ask me for support on how to install the software or other trivial receiver stuff. Also, I don't take any responsibility for the modifications I have done. In practice, take the code you need from it.. and that's about it!Michelehttp://www.blogger.com/profile/03657889163945060210noreply@blogger.com20tag:blogger.com,1999:blog-5679825113811261335.post-29439125183297616392010-10-23T09:56:00.000-07:002010-10-26T00:49:51.625-07:00Ladies and gentlemen, our "Wave"<span class="Apple-style-span" style="font-family: 'Trebuchet MS',sans-serif;"><span class="Apple-style-span" style="font-size: small;">Hi,</span></span><br />
<span class="Apple-style-span" style="font-family: 'Trebuchet MS',sans-serif;"><span class="Apple-style-span" style="font-size: small;"><br />
</span></span><br />
<span class="Apple-style-span" style="font-family: 'Trebuchet MS',sans-serif;"><span class="Apple-style-span" style="font-size: small;">This is a special post for me, there is just so much work behind it that I feel literally relieved :)</span></span><br />
<span class="Apple-style-span" style="font-family: 'Trebuchet MS',sans-serif;"><span class="Apple-style-span" style="font-size: small;"><br />
</span></span><br />
<table align="center" cellpadding="0" cellspacing="0" class="tr-caption-container" style="margin-left: auto; margin-right: auto; text-align: center;"><tbody>
<tr><td style="text-align: center;"><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEh2cu1xm0Txypx8WUMtpCGchYFdrAuUGbWVujfCa66JI7RKhkza5AhOOr5oQ1kv_Lg38UfnbeKSUMb1DM62aH2HmXE8B_N3PrA6EAOE34FzrkZ8Hy_Qfa_M5Nx003tNo2A1KPfdPT9si1w/s1600/wave-box-prespective-rear.jpg" imageanchor="1" style="margin-left: auto; margin-right: auto;"><span class="Apple-style-span" style="font-family: 'Trebuchet MS',sans-serif;"><span class="Apple-style-span" style="font-size: small;"><img border="0" height="240" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEh2cu1xm0Txypx8WUMtpCGchYFdrAuUGbWVujfCa66JI7RKhkza5AhOOr5oQ1kv_Lg38UfnbeKSUMb1DM62aH2HmXE8B_N3PrA6EAOE34FzrkZ8Hy_Qfa_M5Nx003tNo2A1KPfdPT9si1w/s320/wave-box-prespective-rear.jpg" width="320" /></span></span></a></td></tr>
<tr><td class="tr-caption" style="text-align: center;"><span class="Apple-style-span" style="font-family: 'Trebuchet MS',sans-serif;"><span class="Apple-style-span" style="font-size: small;">Figure 1: <i>Wave</i> GNSS front-end.</span></span></td></tr>
</tbody></table><span class="Apple-style-span" style="font-family: 'Trebuchet MS',sans-serif;"><span class="Apple-style-span" style="font-size: small;"><br />
</span></span><br />
<span class="Apple-style-span" style="font-family: 'Trebuchet MS',sans-serif;"><span class="Apple-style-span" style="font-size: small;"><br />
</span></span><br />
<div class="MsoNormal" style="line-height: normal; margin-bottom: 0cm;"><span class="Apple-style-span" style="font-family: 'Trebuchet MS',sans-serif;"><span class="Apple-style-span" style="font-size: small;">Luis and me went through a quantity of problems, but eventually this week we can claim that <i>Wave </i>works reliably and performs well.<o:p></o:p></span></span></div><span style="line-height: 115%;"><span class="Apple-style-span" style="font-family: 'Trebuchet MS',sans-serif;"><span class="Apple-style-span" style="font-size: small;">So here it is, our vision of an industrial direct bandpass sampling, multi-constellation, multi-frequency receiver.</span></span></span><br />
<span class="Apple-style-span" style="font-family: 'Trebuchet MS',sans-serif;"><span class="Apple-style-span" style="font-size: small;"><br />
</span></span><br />
<table cellpadding="0" cellspacing="0" class="tr-caption-container" style="margin-left: auto; margin-right: auto; text-align: center;"><tbody>
<tr><td style="text-align: center;"><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEi4imw3rC1Tuj-jcrk3f8PwRY2CY_eB_zHMBIQUOwYHR-ErIAksrwMVZLgf3NKvczrkvMN0yfIV9FZjSu_vX_5FOBlq6gCYGPy0B62eHKXBZom91RTttZdOvqzYGUt0mVh_JiQ2hzQcmp0/s1600/wave-dboard-perspective.jpg" imageanchor="1" style="clear: left; margin-bottom: 1em; margin-left: auto; margin-right: auto;"><span class="Apple-style-span" style="font-family: 'Trebuchet MS',sans-serif;"><span class="Apple-style-span" style="font-size: small;"><img border="0" height="240" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEi4imw3rC1Tuj-jcrk3f8PwRY2CY_eB_zHMBIQUOwYHR-ErIAksrwMVZLgf3NKvczrkvMN0yfIV9FZjSu_vX_5FOBlq6gCYGPy0B62eHKXBZom91RTttZdOvqzYGUt0mVh_JiQ2hzQcmp0/s320/wave-dboard-perspective.jpg" width="320" /></span></span></a></td></tr>
<tr><td class="tr-caption" style="text-align: center;"><span class="Apple-style-span" style="font-family: 'Trebuchet MS',sans-serif;"><span class="Apple-style-span" style="font-size: small;">Figure 2: <i>Wave</i> digital board rev1.1 with LVDS, USB, and GigETH connectors exposed.</span></span></td></tr>
</tbody></table><div class="separator" style="clear: both; text-align: center;"><span class="Apple-style-span" style="font-family: 'Trebuchet MS',sans-serif;"><span class="Apple-style-span" style="font-size: small;"><br />
</span></span></div><table align="center" cellpadding="0" cellspacing="0" class="tr-caption-container" style="margin-left: auto; margin-right: auto; text-align: center;"><tbody>
<tr><td style="text-align: center;"><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgVKN3X1TPRwqWruWr6LWRfFI9xBhw3nuUSPvvmh-U5sDn3fLBVVDf_GsenyaDL7vnfsvDLL1S21aHZ_5I12yptD3gIIttJQyu7mj4oVvD4YSz7KexAGFfqcabpvJzNg2JmRkpZAXrVYfc/s1600/wave-rfboard-perspective.jpg" imageanchor="1" style="margin-left: auto; margin-right: auto;"><span class="Apple-style-span" style="font-family: 'Trebuchet MS',sans-serif;"><span class="Apple-style-span" style="font-size: small;"><img border="0" height="240" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgVKN3X1TPRwqWruWr6LWRfFI9xBhw3nuUSPvvmh-U5sDn3fLBVVDf_GsenyaDL7vnfsvDLL1S21aHZ_5I12yptD3gIIttJQyu7mj4oVvD4YSz7KexAGFfqcabpvJzNg2JmRkpZAXrVYfc/s320/wave-rfboard-perspective.jpg" width="320" /></span></span></a></td></tr>
<tr><td class="tr-caption" style="text-align: center;"><span class="Apple-style-span" style="font-family: 'Trebuchet MS',sans-serif;"><span class="Apple-style-span" style="font-size: small;">Figure 3: <i>Wave</i> RF board rev1.1 with dual band filters and variable gain amplifiers</span></span></td></tr>
</tbody></table><div class="separator" style="clear: both; text-align: center;"><span class="Apple-style-span" style="font-family: 'Trebuchet MS',sans-serif;"><span class="Apple-style-span" style="font-size: small;"><br />
</span></span></div><div class="MsoNormal" style="line-height: normal; margin-bottom: 0cm;"><span class="Apple-style-span" style="font-family: 'Trebuchet MS',sans-serif;"><span class="Apple-style-span" style="font-size: small;">I will not explain the theory behind it, just <a href="http://sites.google.com/site/michelesblank/20101026_1630BST_wave_540000fs_1bps.7z">post a file</a> captured with a Novatel GPS-704X antenna at NSL. With your favourite acquisition algorithm, you may find in there <b>all </b>the currently available satellite navigation signals. And if you know what we are talking about, you know you just need <b>one parameter</b>: f_S = 5.4e8.<o:p></o:p></span></span></div><div class="MsoNormal" style="line-height: normal; margin-bottom: 0cm;"><span class="Apple-style-span" style="font-family: 'Trebuchet MS',sans-serif;"><span class="Apple-style-span" style="font-size: small;"><br />
</span></span></div><span style="line-height: 115%;"><span class="Apple-style-span" style="font-family: 'Trebuchet MS',sans-serif;"><span class="Apple-style-span" style="font-size: small;">By the way, we will be done soon with porting gps-sdr. <i>Wave </i>has already passed the overnight stress test with it on a 64-bit Ubuntu distribution.</span></span></span><br />
<span class="Apple-style-span" style="font-family: 'Trebuchet MS',sans-serif;"><span class="Apple-style-span" style="font-size: small;"><br />
</span></span><br />
<table align="center" cellpadding="0" cellspacing="0" class="tr-caption-container" style="margin-left: auto; margin-right: auto; text-align: center;"><tbody>
<tr><td style="text-align: center;"><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEiHLki87cmcys0Zg1ZzOKcHAC2m33Z7kvJTJHQiTLWclkIWW_Qe3VFlHN810KwSWcrGWBnxGxKBnfAP184Tl7N1XxIJJZZH3GbHlb0Q3RH-ZxB-VBOGcF3H1teS4nQNRKLWQwjuWeDxirE/s1600/wave-testdrive-gps-sdr-2.jpg" imageanchor="1" style="margin-left: auto; margin-right: auto;"><span class="Apple-style-span" style="font-family: 'Trebuchet MS',sans-serif;"><span class="Apple-style-span" style="font-size: small;"><img border="0" height="300" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEiHLki87cmcys0Zg1ZzOKcHAC2m33Z7kvJTJHQiTLWclkIWW_Qe3VFlHN810KwSWcrGWBnxGxKBnfAP184Tl7N1XxIJJZZH3GbHlb0Q3RH-ZxB-VBOGcF3H1teS4nQNRKLWQwjuWeDxirE/s400/wave-testdrive-gps-sdr-2.jpg" width="400" /></span></span></a></td></tr>
<tr><td class="tr-caption" style="text-align: center;"><span style="line-height: 115%;"><span class="Apple-style-span" style="font-family: 'Trebuchet MS',sans-serif;"><span class="Apple-style-span" style="font-size: small;">Figure 4: gps-sdr processing GPS L1 as digitised and conditioned by <i>Wave</i>. Take a look at the spectrum of the signal on the left (we have a strong external interference at 1.369 MHz, we don't know who's responsible YET). And of course Luis' empty tea mug on the right, filled with champagne later that afternoon :)</span></span></span></td></tr>
</tbody></table><span class="Apple-style-span" style="font-family: 'Trebuchet MS',sans-serif;"><span class="Apple-style-span" style="font-size: small;"><br />
</span></span><br />
<div class="MsoNormal" style="line-height: normal; margin-bottom: 0cm;"><span class="Apple-style-span" style="font-family: 'Trebuchet MS',sans-serif;"><span class="Apple-style-span" style="font-size: small;">We hope readers will find this tool as intriguing as we do. We like to think that we made one step towards the ultimate real-time all-frequencies, all constellations software receiver. Any takers of our challenge?<o:p></o:p></span></span></div><div class="MsoNormal" style="line-height: normal; margin-bottom: 0cm;"><span class="Apple-style-span" style="font-family: 'Trebuchet MS',sans-serif;"><span class="Apple-style-span" style="font-size: small;"><br />
</span></span></div><div class="MsoNormal" style="line-height: normal; margin-bottom: 0cm;"><span class="Apple-style-span" style="font-family: 'Trebuchet MS',sans-serif;"><span class="Apple-style-span" style="font-size: small;"><br />
</span></span></div><div class="MsoNormal" style="line-height: normal; margin-bottom: 0cm;"><span class="Apple-style-span" style="font-family: 'Trebuchet MS',sans-serif;"><span class="Apple-style-span" style="font-size: small;">To be continued,<o:p></o:p></span></span></div><span style="line-height: 115%;"><span class="Apple-style-span" style="font-family: 'Trebuchet MS',sans-serif;"><span class="Apple-style-span" style="font-size: small;">Luis and Michele</span></span></span>Michelehttp://www.blogger.com/profile/03657889163945060210noreply@blogger.com1