tag:blogger.com,1999:blog-68651534727750996372024-02-07T18:34:11.655+00:00Radio Adventures @ G4GUOThis Blog chronicles my current radio developments.G4GUOhttp://www.blogger.com/profile/15634884412587660320noreply@blogger.comBlogger245125tag:blogger.com,1999:blog-6865153472775099637.post-74195314429915608592022-10-17T10:57:00.003+01:002022-10-17T10:59:52.053+01:00OpenAI Whisper joins the Radio War<p> </p><div class="separator" style="clear: both; text-align: center;"><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEivE8qvd4FJXZloQ08uEEv2IxBNZLr4G3Zqv5xHJsxm0MoP-K1ACcYDtJ3ftud9lQBgBwd2yPKwvyTWCZJkU7QvKj7WbsHb5WvNJ4_y_t8YfZllPO2ZhdAaMEHCdRKdQ76S97LrPgEVDLhvD7FxA93pb7KqJnDFk9a0c1z3x3OCmCjVAI8sCHlu133Y/s1966/Screenshot%20from%202022-10-16%2021-30-56.png" style="margin-left: 1em; margin-right: 1em;"><img border="0" data-original-height="1076" data-original-width="1966" height="175" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEivE8qvd4FJXZloQ08uEEv2IxBNZLr4G3Zqv5xHJsxm0MoP-K1ACcYDtJ3ftud9lQBgBwd2yPKwvyTWCZJkU7QvKj7WbsHb5WvNJ4_y_t8YfZllPO2ZhdAaMEHCdRKdQ76S97LrPgEVDLhvD7FxA93pb7KqJnDFk9a0c1z3x3OCmCjVAI8sCHlu133Y/w298-h175/Screenshot%20from%202022-10-16%2021-30-56.png" width="298" /></a></div><p></p><div style="text-align: left;">Recently, I have been trying to use <a href="https://github.com/openai/whisper">OpenAI Whisper</a> program to transcribe </div><div style="text-align: left;">and translate signals received over radio. The above screenshot is from a </div><div style="text-align: left;">Russian Language transmission on 7.07 MHz LSB in the 40m Amateur band. </div><div style="text-align: left;">I used the medium model and an NVIDIA RTX2080 Super graphics card.</div><div style="text-align: left;"><br /></div><div style="text-align: left;">Although the results are nowhere near perfect, it does seem to understand </div><div style="text-align: left;">the gist of what is being said. Click on the picture above to see more detail.<br /></div><div style="text-align: left;"><br /></div><div style="text-align: left;">The program uses a 30 sec sliding window to operate, so has some limitations, </div><div style="text-align: left;">for example it does not like quick fire overs as it looses context. </div><div style="text-align: left;">The Large model has even better performance but, requires more VRAM than </div><div style="text-align: left;">is on the card I am using. I may at some stage try using an RTX3090 which has </div><div style="text-align: left;">24G of VRAM.</div><div style="text-align: left;"><br /></div><div style="text-align: left;">The program does not like co-channel interference or selective fading (on AM signals).</div><div style="text-align: left;"><br /></div><div style="text-align: left;">The program in using an Anaconda environment and <a href="https://pytorch.org/">PyTorch</a> (an AI framework).</div><div style="text-align: left;">At the moment my python program is very simple and, I am sure, can be improved.</div><div style="text-align: left;">On receive, I tried a number of WebSDRs. I have used in to listen to QO-100</div><div style="text-align: left;">narrowband where it translated many different languages. I also used it to translate</div><div style="text-align: left;">traffic from Russian AM stations around 3.1 MHz<br /></div>G4GUOhttp://www.blogger.com/profile/15634884412587660320noreply@blogger.com0tag:blogger.com,1999:blog-6865153472775099637.post-8259098541481876242022-06-01T16:01:00.000+01:002022-06-01T16:01:16.176+01:00Project M17 Digital Radio <p></p><div class="separator" style="clear: both; text-align: center;"><iframe allowfullscreen="" class="BLOG_video_class" height="266" src="https://www.youtube.com/embed/FZ2LKr5GoAA" width="320" youtube-src-id="FZ2LKr5GoAA"></iframe></div><br /><div class="separator" style="clear: both; text-align: center;"><iframe allowfullscreen="" class="BLOG_video_class" height="266" src="https://www.youtube.com/embed/qcVxkx53T1Y" width="349" youtube-src-id="qcVxkx53T1Y"></iframe></div><br /> <div class="separator" style="clear: both; text-align: center;"><iframe allowfullscreen="" class="BLOG_video_class" height="266" src="https://www.youtube.com/embed/HxIcm5TBrUs" width="320" youtube-src-id="HxIcm5TBrUs"></iframe></div><br /><p></p><div style="text-align: left;">I have been playing with <a href="https://m17project.org/">M17</a> using both my own software and a modified </div><div style="text-align: left;">TYT MD-UV380 DMR handheld running <a href="https://openrtx.org/#/">OpenRTX</a> software. OpenRTX</div><div style="text-align: left;">now supports transmit and receive.<br /></div><div style="text-align: left;"> </div><div style="text-align: left;">The top video is a quick test over QO-100 using my software for transmit</div><div style="text-align: left;">and SDR++ for receive. The middle is my software receiving M17 from</div><div style="text-align: left;">a handheld. The final is my first tests using a Raspberry PI4 and LimeSDR</div><div style="text-align: left;">running my software.</div><div style="text-align: left;"> </div><div style="text-align: left;">I have released my implementation of M17 on <a href="https://github.com/G4GUO/m17_sdr">Github,</a> if anyone wants to</div><div style="text-align: left;">play with it, they will need to go into the Release directory and do a make. </div><div style="text-align: left;">They will have to already have the development packages for LimeSuite, </div><div style="text-align: left;">Codec2 and ncurses installed on their machine. </div><div style="text-align: left;"> </div><div style="text-align: left;">It runs in a console and typing h will give you the list of commands. </div><div style="text-align: left;">There is no network support yet, so you won't be able to join </div><div style="text-align: left;">a reflector. It is just proof of concept. The code is very dirty and could </div><div style="text-align: left;">do with a good tidy up.<br /></div><div style="text-align: left;"><br /></div><div style="text-align: left;">I am now considering what I should do next with the project. I am not a DStar,</div><div style="text-align: left;">DMR or Fusion user, so am totally clueless.</div><div style="text-align: left;"> </div><div style="text-align: left;">I wanted to run it on a much smaller CPU but due to the chip shortage</div><div style="text-align: left;">getting anything at the moment is problematic. <br /></div>G4GUOhttp://www.blogger.com/profile/15634884412587660320noreply@blogger.com2tag:blogger.com,1999:blog-6865153472775099637.post-27951857192374093072022-05-01T19:45:00.004+01:002022-05-01T20:19:19.123+01:00Using LimeSDR, GNURadio and NVIDIA's Riva voice tools <p> </p><div class="separator" style="clear: both; text-align: center;"><iframe allowfullscreen='allowfullscreen' webkitallowfullscreen='webkitallowfullscreen' mozallowfullscreen='mozallowfullscreen' width='320' height='266' src='https://www.blogger.com/video.g?token=AD6v5dy0ltOdoXGYSrL9iNuMmWUrKFC-bxvvbUq-Bo2iO16dXYuNgGxhkjoFNQodXp8z4efmlFEnsv7Ve_21vZufhw' class='b-hbp-video b-uploaded' frameborder='0'></iframe></div> <p></p><div style="text-align: left;">This is just a short blog entry. I have been experimenting using AI speech decoding </div><div style="text-align: left;">and GNU Radio. I apologise for the quality of the video.<br /></div><div style="text-align: left;"> </div><div style="text-align: left;">I am using NVIDIA's Riva speech tools running on an RTX3090 being fed with </div><div style="text-align: left;">audio samples generated by GNURadio. </div><div style="text-align: left;"> </div><div style="text-align: left;">The example above is listening to BBC Radio 4, but I have also tried it with NBFM </div><div style="text-align: left;">on the 2M band. </div><div style="text-align: left;"> </div><div style="text-align: left;">The duplication in the output window is down to the Python code not wrapping at </div><div style="text-align: left;">the end of the line correctly and is not an issue with Riva. </div><div style="text-align: left;"> </div><div style="text-align: left;">To use Riva, you have to register with NVIDIA before you can download the suite. </div><div style="text-align: left;"> </div><div style="text-align: left;">I tried using it on a RTX2080 Super card, but it gave loads of out of memory errors, </div><div style="text-align: left;">so the above example is running on a RTX3090 with 24G of memory. </div><div style="text-align: left;"> </div><div style="text-align: left;">In the above setup, I am running GNURadio on one computer talking to another </div><div style="text-align: left;">computer running the Riva server via Wi-Fi. I am only doing this because my </div><div style="text-align: left;">big machine is nowhere near my antennas. </div><div style="text-align: left;"><br /></div><div style="text-align: left;">I have not tried SSB on HF yet, that will be the next challenge. Riva also supports </div><div style="text-align: left;">text to speech.</div><div style="text-align: left;"><br /></div><div style="text-align: left;">Voice recognition has come a long way since I last played with it 20 or more </div><div style="text-align: left;">years ago then I was using IBM's Dragon Naturally Speaking which I used to </div><div style="text-align: left;">control an HF radio running my PC-ALE software.<br /></div><p><a href="https://developer.nvidia.com/riva">https://developer.nvidia.com/riva</a><br /></p>G4GUOhttp://www.blogger.com/profile/15634884412587660320noreply@blogger.com4tag:blogger.com,1999:blog-6865153472775099637.post-17122973324940994662020-12-07T22:39:00.004+00:002020-12-07T22:55:46.958+00:00My attempt at applying Deep Learning to Amateur Radio<p></p><div class="separator" style="clear: both; text-align: center;"><iframe allowfullscreen="" class="BLOG_video_class" height="266" src="https://www.youtube.com/embed/t-y8mlQaud8" width="320" youtube-src-id="t-y8mlQaud8"></iframe></div>I have been interested in learning about Artificial Intelligence AI so to make it interesting I thought I would do something Amateur Radio related.<p></p><p>I started off using the NVIDIA Jetson Inferencing repository on github. <a href="https://github.com/dusty-nv/jetson-inference">https://github.com/dusty-nv/jetson-inference</a></p><p>I then modified that to accept a grayscale waterfall display from a LimeSDR both for capturing labelled images and for detection/inferencing using SSD Mobilenet v1. The waterfall is produced by a very simple program that uses the cuFFT library and some CUDA code. The video above shows my initial results of monitoring the QO-100 narrowband transponder. It is not perfect but shows the possibilities. </p><p>Since doing the video I have captured more data and used a regular Linux machine to do the training using an RTX 3090 graphics card. I am now getting more reliable results. However yet more training is still required. I will also have to do some more training on 2M to capture some NBFM signals (not seen on QO-100). When I get an HF antenna up that works I may try it on HF as well. While the training is done on a regular Linux PC the inferencing (the bit that does the actual processing of realtime images) is done on a Jetson XavierNX but would work equally as well on a Jetson Nano.<br /></p><p>A while ago I also played around with NVIDIA Digits using that to analyse DATV signals looking for signals that have real people in them and not just test cards or looped videos. So there are plenty of things to use it for. </p><p>I can also think of many non Amateur Radio projects to use it for.<br /></p>G4GUOhttp://www.blogger.com/profile/15634884412587660320noreply@blogger.com1tag:blogger.com,1999:blog-6865153472775099637.post-54123829256110560932019-02-06T15:51:00.000+00:002019-04-11T08:36:18.624+01:00MRF7S242500 amplifier, sometimes things don't go as planned!<div class="separator" style="clear: both; text-align: center;">
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" width="400" /> </div>
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There has been some interest in the 2.4 GHz PA I built for QO100.</div>
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At the time I could not find anyone to supply a PCB using the correct </div>
<div style="margin-left: 1em; margin-right: 1em; text-align: justify;">
material so I used RO4350B instead. My first attempt didn't work </div>
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very well, this turned out to be due to inadequate grounding. </div>
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After a re-build I got closer to the expected results. </div>
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The amplifier has a gain before saturation of about 14.7 dB which </div>
<div style="margin-left: 1em; margin-right: 1em; text-align: justify;">
matches the data sheet but I have been unable to achieve more than </div>
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130 watts CW output well below the device limit of 250 watts. </div>
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I have also had to modify the output match slightly to get that amount. </div>
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So while it produces enough power for my requirements it </div>
<div style="margin-left: 1em; margin-right: 1em; text-align: justify;">
no where near meets the specification.</div>
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<br /></div>
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The hot spot in the middle is an electrolytic capacitor on the drain supply </div>
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and is hot because when these pictures were taken the amplifier was </div>
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suffering from low frequency oscillation. This has now been fixed by </div>
<div style="margin-left: 1em; margin-right: 1em; text-align: justify;">
adding extra decoupling to the bias supply and moving some wires about. </div>
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The output coax is temporary as I don't have anything suitable in stock. </div>
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Originally I had a 200 watt circulator in the amplifier. </div>
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I removed the circulator to see if that was the problem. It wasn't. </div>
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I have since learned that it is possible to purchase the original PCBs </div>
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made by the same company that NXP use. Useful information but a </div>
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bit late for me.</div>
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<div style="margin-left: 1em; margin-right: 1em; text-align: justify;">
AMSAT-DL use an amplifier built by Achim DH2VA using an </div>
<div style="margin-left: 1em; margin-right: 1em; text-align: justify;">
MRF24300N which was built using a board from www.mtlpcb.com </div>
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and worked first time and to spec.</div>
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For anyone wanting a high power amplifier for this band it looks like </div>
<div style="margin-left: 1em; margin-right: 1em; text-align: justify;">
Ampleon do a suitable pallet amplifier. They do two version one which </div>
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only requires a few milliwatts and another than requires about 4 watts drive. </div>
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Currently only the 4 watt version BPC2425M9X250Z is available from stock. </div>
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<br />G4GUOhttp://www.blogger.com/profile/15634884412587660320noreply@blogger.com2tag:blogger.com,1999:blog-6865153472775099637.post-42449448901136177562018-11-18T11:46:00.000+00:002018-11-18T11:46:29.231+00:00Es'hail 2 and my Spectrian amp<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/AVvXsEgbw6SLK4t95YRr2rtqU5wAlJvyFuiTl-KNWzYuLtU7Fnq-ZByHhxqdQX_IQVa91WFdfnbu31shLVmlubCmsnXxrUPXAjruSDSAY18fBfmN24PeyaUquMArru1JFfgKxTBJA2fvtXcjFxk/s1600/DSC_0211.JPG" imageanchor="1" style="margin-left: auto; margin-right: auto;"><img border="0" data-original-height="1333" data-original-width="1600" height="266" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgbw6SLK4t95YRr2rtqU5wAlJvyFuiTl-KNWzYuLtU7Fnq-ZByHhxqdQX_IQVa91WFdfnbu31shLVmlubCmsnXxrUPXAjruSDSAY18fBfmN24PeyaUquMArru1JFfgKxTBJA2fvtXcjFxk/s320/DSC_0211.JPG" width="320" /></a></td></tr>
<tr><td class="tr-caption" style="text-align: center;">2 MS/s @ 2.4 GHz 80 watts</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/AVvXsEjZdqrQpXVLFQhlvIcAOwIs8lXm74nJR0NspehZ3Xuemx3LTFudC5-3bCliXJ-zLn-pMXbQ_hoaAdpehoxmxsyncNDkjZovFE20RbsSSJtieMuHvam2PbQRsKM5KZaGIVIinphevq1x0Ms/s1600/DSC_0213.JPG" imageanchor="1" style="margin-left: auto; margin-right: auto;"><img border="0" data-original-height="950" data-original-width="1600" height="189" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjZdqrQpXVLFQhlvIcAOwIs8lXm74nJR0NspehZ3Xuemx3LTFudC5-3bCliXJ-zLn-pMXbQ_hoaAdpehoxmxsyncNDkjZovFE20RbsSSJtieMuHvam2PbQRsKM5KZaGIVIinphevq1x0Ms/s320/DSC_0213.JPG" width="320" /></a></td></tr>
<tr><td class="tr-caption" style="text-align: center;">Spectrian bare bones amplifier</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/AVvXsEg6fy-uaNB5vHFUxB75jHO6-zI5NMSkA4itRUJljfHYux_n97m2o1tBE59cEZXSLqGT0REirQ_5j5igDZR_cZVnPgnkdjTVfAfe0vaDnSLFAUm4IXLw2jnc-2oBXjY9C6HSTHBSMgzBIhg/s1600/20181116T101437.JPG" imageanchor="1" style="margin-left: auto; margin-right: auto;"><img border="0" data-original-height="1440" data-original-width="1080" height="320" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEg6fy-uaNB5vHFUxB75jHO6-zI5NMSkA4itRUJljfHYux_n97m2o1tBE59cEZXSLqGT0REirQ_5j5igDZR_cZVnPgnkdjTVfAfe0vaDnSLFAUm4IXLw2jnc-2oBXjY9C6HSTHBSMgzBIhg/s320/20181116T101437.JPG" width="240" /></a></td></tr>
<tr><td class="tr-caption" style="text-align: center;">Thermal image of Spectrian</td></tr>
</tbody></table>
<br />
Now that Es'hail 2 is launched I thought it might be time to see how much<br />
power I will be able to generate when it comes time to use the asset.<br />
<br />
It didn't go as well as I had planned. I can generate about 80 watts of DVB-S2<br />
at 2.405 GHz that looks reasonable but it requires almost 800 watts of input power.<br />
The amplifier is the working parts of a Spectrian unit minus the original heatsinks<br />
(because of shipping costs from the U.S). It is not obvious from the thermal image<br />
as to why the efficiency is so low. The MRF286 devices have a claimed efficiency<br />
of 28 - 32% at 2 GHz obviously they will have less efficiency at 2.4 GHz and there<br />
will be losses in the PCB and the combiners but 10% is pretty low.<br />
<br />
So it looks like I will have to try a different approach to saving us all from<br />
global warming. Currently I am looking at the MRF7S24250 device which has<br />
250 watt output at 2.4 GHz a gain of 14.5 dB and an efficiency of about 55%.<br />
<br />
<br />G4GUOhttp://www.blogger.com/profile/15634884412587660320noreply@blogger.com12tag:blogger.com,1999:blog-6865153472775099637.post-43973164525182603262018-08-02T22:48:00.002+01:002018-08-05T17:19:31.671+01:00MRF300AN 71.5 MHz amplifier<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/AVvXsEj-1g9L39OMBjuqoK6f7YpP2X3It_W-YIEdoDKgelu3UIELCpxqZ8DciGRxSCwTsHBoCgSI779Ji4oIzbP0Zx9DIlLt92acqN22S1TmVhBQZuKYd_izdLjUaPTLv8mebGpvOZF8InMZAR4/s1600/DSC_0182.JPG" imageanchor="1" style="margin-left: auto; margin-right: auto;"><img border="0" data-original-height="1060" data-original-width="1600" height="211" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEj-1g9L39OMBjuqoK6f7YpP2X3It_W-YIEdoDKgelu3UIELCpxqZ8DciGRxSCwTsHBoCgSI779Ji4oIzbP0Zx9DIlLt92acqN22S1TmVhBQZuKYd_izdLjUaPTLv8mebGpvOZF8InMZAR4/s320/DSC_0182.JPG" width="320" /></a></td></tr>
<tr><td class="tr-caption" style="text-align: center;">Overall view of test setup</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/AVvXsEic2eD0oD7QNzhhOsuzMDRUtOYQB7MmSBVE9ynIZNtb5n3OyYioCpsFhu4LFy48C1TwWfqmiswK7ssRTT0mOWSXwJMokVXqERMpZTxMqLIWTg3IU1SOcE7HO3tRwQzkIi8IZRKNy3Q53y0/s1600/DSC_0179.JPG" imageanchor="1" style="margin-left: auto; margin-right: auto;"><img border="0" data-original-height="1060" data-original-width="1600" height="211" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEic2eD0oD7QNzhhOsuzMDRUtOYQB7MmSBVE9ynIZNtb5n3OyYioCpsFhu4LFy48C1TwWfqmiswK7ssRTT0mOWSXwJMokVXqERMpZTxMqLIWTg3IU1SOcE7HO3tRwQzkIi8IZRKNy3Q53y0/s320/DSC_0179.JPG" width="320" /></a></td></tr>
<tr><td class="tr-caption" style="text-align: center;">Output spectrum at 40 watts 50v supply</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/AVvXsEhc-40lz1YX40WUbnG9PvKiCVjto9XpcCk5mg2PMc13K-RLK6C6wx7CVVi0LRZSaEhq9jn5Ub_YJnX_fdOcbeDlRkHH1z566rokQg4YjViY2GjQAbKbfSJajQI3qpEOR5-uNHfD5bac-IU/s1600/DSC_0175.JPG" imageanchor="1" style="margin-left: auto; margin-right: auto;"><img border="0" data-original-height="1060" data-original-width="1600" height="211" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhc-40lz1YX40WUbnG9PvKiCVjto9XpcCk5mg2PMc13K-RLK6C6wx7CVVi0LRZSaEhq9jn5Ub_YJnX_fdOcbeDlRkHH1z566rokQg4YjViY2GjQAbKbfSJajQI3qpEOR5-uNHfD5bac-IU/s320/DSC_0175.JPG" width="320" /></a></td></tr>
<tr><td class="tr-caption" style="text-align: center;">Device test jig</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/AVvXsEhCLx-o9AYYRisdOq7YoijT_WOviBybtdz77c9c4F9iP8A7kdVh1963C8CjlNK4yOMdqyMvx9vFLD6zBBZvqCLEtW8g7fiwqp3IVVHLj6fzNoBe797rMtkv9fncuz4ARJ8Nlid3zQWSVLw/s1600/FLIR_23.jpeg" imageanchor="1" style="margin-left: auto; margin-right: auto;"><img border="0" data-original-height="480" data-original-width="640" height="240" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhCLx-o9AYYRisdOq7YoijT_WOviBybtdz77c9c4F9iP8A7kdVh1963C8CjlNK4yOMdqyMvx9vFLD6zBBZvqCLEtW8g7fiwqp3IVVHLj6fzNoBe797rMtkv9fncuz4ARJ8Nlid3zQWSVLw/s320/FLIR_23.jpeg" width="320" /></a></td></tr>
<tr><td class="tr-caption" style="text-align: center;">Thermal image of amplifier output matching at 250 watt level</td><td class="tr-caption" style="text-align: center;"><br /></td></tr>
</tbody></table>
<br />
I am currently working on an amplifier for the 71.5 MHz band based<br />
on the new <a href="https://www.nxp.com/products/rf/rf-power/rf-ism-and-broadcast/1-600-mhz-broadcast-and-ism/300-w-cw-over-1.8-250-mhz-50-v-wideband-rf-power-ldmos-transistor:MRF300AN">NXP MRF300AN</a> plastic LDMOS power transistor. The<br />
first picture shows the overall setup. The next is the amplifier<br />
transmitting a QPSK signal at 40 watts output and the final a close<br />
up of the test jig.<br />
<br />
The idea of the test jig is that the device can be matched for optimum<br />
performance ( IMD / Efficiency or some other criterion) then the device<br />
can be removed and replaced by the SMA jig and the input and output<br />
match measured using a VNA. This can then be used in a program such<br />
as <a href="http://qucs.sourceforge.net/">QUCS</a> to design a suitable matching network, possibly for broadband<br />
operation.<br />
<br />
I also have a temporary licence for <a href="http://www.awrcorp.com/products/ni-awr-design-environment/microwave-office">AWR microwave office </a>which allows me<br />
to try the NXP large signal model for this device.<br />
<br />
Eventually I may use the amplifier to experiment with Digital Pre-distortion<br />
but that is sometime in the future.<br />
<br />
Results so far, with about 300 mW drive I have managed to obtain a CW<br />
output of slightly over 200 watts with a supply of 6 amps at 50 volts<br />
which is well in excess of what is required.As can be seen from the<br />
thermal image of the amplifier the main hot spots are the live end of<br />
the supply choke and the end of the output inductor connected to<br />
the tuning capacitors. The hot line at the left is heat from the losses in<br />
the RG58 cable I am using to connect to the Bird power meter.<br />
<br />
The MRF300AN operates from 1.8 MHz to 250 MHz and has a claimed output<br />
of 330 watts. The devices cost £30 each. The output patch leads in my<br />
setup get quite hot as does the LPF (located is the die-cast box connected<br />
to the bird power meter) so I am loosing power there.<br />
<br />
While these devices are designed to cope with a 65:1 VSWR at any phase<br />
I have managed to blow one up. That was down to my impatience of<br />
using it with an inadequate heatsink.<br />
<br />
The amplifier is more than adequate for it's intended use and that was<br />
for a very clean amplifier for the UK experimental 71.5 MHz band.<br />
We are limited to 100 watts ERP so the amplifier need not operate<br />
above 25 watts. I originally ran the device at 30 volts but the performance<br />
was poor at that level. At 30v I was not able to achieve more than 15 watts<br />
of acceptable output. Increasing the supply to the full 50 volts made<br />
a significant improvement.<br />
<br />
A number issues were discovered, the main one being that careful<br />
level settings have to be made. The test waveform was QPSK<br />
generated from an HP ESG signal generator which fed a broadband<br />
class A amplifier based on an old CA5800. At various stages in<br />
the test I manage to introduce IMD due to the signal generator,<br />
the driver amp and the the Spectrum analyser which gave<br />
a false indication of the actual level of the shoulders the amplifier<br />
was producing.<br />
<br />
It has been an interesting journey so far and I have learned a lot ........G4GUOhttp://www.blogger.com/profile/15634884412587660320noreply@blogger.com4tag:blogger.com,1999:blog-6865153472775099637.post-53095863849403026612018-05-17T18:55:00.003+01:002018-05-18T09:20:21.511+01:00My Lime Mini has a box<br />
<a href="https://pbs.twimg.com/media/DdZPtSnW0AAnIa8.jpg" imageanchor="1" style="clear: left; float: left; margin-bottom: 1em; margin-right: 1em;"><img alt="" border="0" data-aria-label-part="" src="https://pbs.twimg.com/media/DdZPtSnW0AAnIa8.jpg" style="top: 0px; width: 100%;" /></a>Just a quick post. I finally put one of my Lime Minis into a box. The box is a<br />
Hammond 1455C802 with just over 1 cm removed from it's length.<br />
The ends are plastic so are easy to drill. I am planning to add a small 3 cm<br />
5v fan to the top if it is needed.<br />
<br />
As I posted on my Twitter account I finally managed to get a very nice DVB-S2<br />
signal out of the Mini and as I thought the issue was with my code rather than<br />
the Mini. The lesson learned is it is vital to run the TX calibration routine every<br />
time you change the transmitter parameters.<br />
<br />
The next job is to revisit my GPU accelerated Linux DPD code. The USB3<br />
interface of the Lime gives enough bandwidth to process the oversampled<br />
full duplex signals required to carry out Digital Pre Distortion. If you<br />
want more information please look at previous blog entries. G4GUOhttp://www.blogger.com/profile/15634884412587660320noreply@blogger.com0tag:blogger.com,1999:blog-6865153472775099637.post-86512464265541290742018-01-28T12:38:00.001+00:002018-01-30T11:13:07.003+00:00DVB-S2X First Light<div class="separator" style="clear: both; text-align: center;">
<a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhjlSVD0PNAzDcdUC951wNOAeqbXYz-ZKwsNLQfkkLeBM_uBucaMofNJUvuMdfKGV6rSdKdQdFly3daO9T9lbWWaEXuMSWDfaaNBdvlpDbT8x3Lklpnl-0qNzoK-ZhpMnxz-Hn0oktXpSA/s1600/Screenshot+from+2018-01-28+11-59-34.png" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"><img border="0" data-original-height="428" data-original-width="600" height="228" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhjlSVD0PNAzDcdUC951wNOAeqbXYz-ZKwsNLQfkkLeBM_uBucaMofNJUvuMdfKGV6rSdKdQdFly3daO9T9lbWWaEXuMSWDfaaNBdvlpDbT8x3Lklpnl-0qNzoK-ZhpMnxz-Hn0oktXpSA/s320/Screenshot+from+2018-01-28+11-59-34.png" width="320" /></a></div>
Initial DVB-S2X decoding has now been added to the soft modem.<br />
With almost 100 different modulation formats I have little hope of implementing<br />
them all but it is a start.<br />
<br />
Back to S2 again<br />
<br />
<div class="separator" style="clear: both; text-align: center;">
<a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhWADK3O5Ann8iTRe8qs0d2v5fLzF9GzYl3P-LeXDkNLB9DurQXu0HzUgxyCYoPc-KCLSy2umLz_Kut1ZOLf8EQm2EvtMdg_bv5nTN1W9obfIlsucf6_eFBhwcZgjl5LunCeu27CiGft3o/s1600/Screenshot+from+2018-01-29+16-10-30.png" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"><img border="0" data-original-height="428" data-original-width="600" height="228" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhWADK3O5Ann8iTRe8qs0d2v5fLzF9GzYl3P-LeXDkNLB9DurQXu0HzUgxyCYoPc-KCLSy2umLz_Kut1ZOLf8EQm2EvtMdg_bv5nTN1W9obfIlsucf6_eFBhwcZgjl5LunCeu27CiGft3o/s320/Screenshot+from+2018-01-29+16-10-30.png" width="320" /></a></div>
<br />G4GUOhttp://www.blogger.com/profile/15634884412587660320noreply@blogger.com2tag:blogger.com,1999:blog-6865153472775099637.post-37566615812943355542018-01-22T18:44:00.004+00:002018-01-22T18:44:49.653+00:00DVB-S2 Short Frames added<div class="separator" style="clear: both; text-align: center;">
<a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEh0Si9tMb9RVDRS3UGwztQmaQO7re7WA6IaT62AUhUaZXXwUQx8RiMgAMdxv0GHsACjjjyu3meOoKfxAj4tQmIm10WdZ89hY0Tsf8KfJ8lb_5u0yRgIMvun1BV80MEVFZT1umieo5XRQs0/s1600/DSC_0087.JPG" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"><img border="0" data-original-height="1060" data-original-width="1600" height="211" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEh0Si9tMb9RVDRS3UGwztQmaQO7re7WA6IaT62AUhUaZXXwUQx8RiMgAMdxv0GHsACjjjyu3meOoKfxAj4tQmIm10WdZ89hY0Tsf8KfJ8lb_5u0yRgIMvun1BV80MEVFZT1umieo5XRQs0/s320/DSC_0087.JPG" width="320" /></a></div>
<br />
<br />
<br />
<br />
The receiver code now supports DVB-S2 short frames 16200 bits vs the usual 64800.<br />
<br />
I am just starting to test some DVB-S2X extensions. I have not yet added VL-SNR<br />
support.<br />
G4GUOhttp://www.blogger.com/profile/15634884412587660320noreply@blogger.com0tag:blogger.com,1999:blog-6865153472775099637.post-69783758859964505142018-01-15T11:40:00.000+00:002018-01-15T11:40:03.602+00:00Crude GUI added to DVB-S2 Receiver<div class="separator" style="clear: both; text-align: center;">
<a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhXeNMXDKUREMpjmQ8JF9AR7JF0yXNiC8433i4VpHrIzCNT-WVpzMSH86mU-5qP2gKqV4DosfNr-UaBzsckdvbYZuzNsimwvkLOsNQy-jrdGk7YNbzyx52o0DacOXcylTbdCCKpb_wsaIQ/s1600/Screenshot+from+2018-01-14+20-24-32.png" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"><img border="0" data-original-height="428" data-original-width="600" height="228" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhXeNMXDKUREMpjmQ8JF9AR7JF0yXNiC8433i4VpHrIzCNT-WVpzMSH86mU-5qP2gKqV4DosfNr-UaBzsckdvbYZuzNsimwvkLOsNQy-jrdGk7YNbzyx52o0DacOXcylTbdCCKpb_wsaIQ/s320/Screenshot+from+2018-01-14+20-24-32.png" width="320" /></a></div>
A quick update on the project. I have added a MER status line to the GUI.<br />
The carrier tracking has been improved. However I am still limited to<br />
symbol rates below 2 MS/s. This is due to the overhead of the adaptive equaliser.<br />
I have plans to accelerate that part of the code. The equaliser is quite agressive<br />
as it needs to track the symbol rate error, reducing that error will reduce the<br />
equaliser CPU overhead. Also moving the equaliser onto the GPU and<br />
equalising 128 frames in parallel should hide the processor overhead too.<br />
<br />
The problem at the moment is how to take the single thread CPU code and<br />
move it to the multi-processor GPU.<br />
<br />G4GUOhttp://www.blogger.com/profile/15634884412587660320noreply@blogger.com0tag:blogger.com,1999:blog-6865153472775099637.post-37916812214436254902017-11-24T22:23:00.002+00:002017-11-24T22:29:17.408+00:00CUDA DVB-S2 decoder marches on.No pictures this time as videos of the receiver in action don't prove much.<br />
I have now implemented version 2 of the LDPC decoder based on a<br />
research paper I found <a href="http://www.wirelessinnovation.org/assets/Proceedings/2011/2011-6b-gronroos.pdf">Gronroos </a> I now appear to be getting a throughput<br />
in excess of 300 MBits/s. There are still some issues, the new decoder uses<br />
8 bit metrics and it is a challenge to get them not to underflow on weak<br />
signals. I have used the CUDA intrinsic SIMD instructions which use saturated<br />
8 bit maths, this is a deviation from the original paper but seems to work. <br />
<br />
The decoder works on the bases of handling 128 codewords in<br />
parallel which causes two problems, firstly the latency and secondly the fact<br />
the 128 codewords have to use the same FEC. This is not an issue with<br />
TV broadcasting but does cause some issues with the requirements of<br />
Phase 4 Ground. Another problem is that the new algorithm uses Min-Sum<br />
rather Sum-Product to do the decoding which looses some performance.<br />
I did find another paper that applies a correction to Min-Sum to<br />
get back some of the performance.<br />
<br />
The next improvement I made was to use a table lookup approach to detect<br />
BCH code words in error. This has resulted in a 5x increase in speed<br />
of the BCH error detector. The bad code words are then further processed<br />
using the Berlekamp and Massey algorithm and up to 12 errors corrected<br />
per code word. The syndromes are calculated on the CPU.<br />
I calculate the odd order syndromes by using log/alog tables of one of the<br />
base polynomials. The even order syndromes are calculated by multiplying<br />
the required odd order syndromes, for example s2 = GMULT(s1,s1)<br />
(where GMULT is a multiply over the Galois field). I am thinking of<br />
splitting the batches of 128 codewords up into sets of 64 or maybe 32<br />
then processing them in separate CPU threads. I am not sure whether<br />
the overhead of creating the threads will be greater than the concurrency<br />
I can achieve (only experiment will tell).<br />
<br />
I have a lot more things to play with like using pinned memory for<br />
device to host transfers and CUDA callbacks.<br />
<br />
I am now decoding DVB-S2 at 800 KSymbols/sec, the limiting factor is no<br />
longer the LDPC but the Kalman based adaptive equaliser I am using in<br />
the front of the modem. Currently it uses floating point so can probably be sped up.<br />
After equaliser training on the preamble I hope to switch to the far lesser<br />
demanding LMS method but as yet that doesn't work.<br />
<br />
So lots more interesting stuff to play with. I have had no formal education<br />
in any of this I have just learnt it from articles I have found on the internet.<br />
So please excuse any mistakes I make. <br />
<br />
For any of you that read this blog that are not Radio Amateurs, part of the ethos<br />
of the Amateur Radio movement is the concept of self training in radio<br />
communications. I hope I meet that challenge, in this my personal journey.<br />
<br />
So till next time ....G4GUOhttp://www.blogger.com/profile/15634884412587660320noreply@blogger.com0tag:blogger.com,1999:blog-6865153472775099637.post-53810558241371703922017-10-16T18:28:00.001+01:002017-10-16T18:28:47.503+01:00Work progresses on my software decoder <div class="separator" style="clear: both; text-align: center;">
<iframe width="320" height="266" class="YOUTUBE-iframe-video" data-thumbnail-src="https://i.ytimg.com/vi/z-onbp32U1Q/0.jpg" src="https://www.youtube.com/embed/z-onbp32U1Q?feature=player_embedded" frameborder="0" allowfullscreen></iframe></div>
Here is another quick video of my work on using CUDA to do DVB-S2 demodulation.<br />
I have now reached the dizzy heights of 500 Kilo Symbols per second in real time<br />
with 20 iterations of the LDPC decoder still a long way to go and a lot to learn about<br />
programming in CUDA.G4GUOhttp://www.blogger.com/profile/15634884412587660320noreply@blogger.com2tag:blogger.com,1999:blog-6865153472775099637.post-60176244610996003212017-10-05T14:53:00.000+01:002017-10-05T16:39:48.838+01:00LDPC the power of iterationCurrently I am working on a DVB-S2 software decoder using an NVIDIA GPU<br />
and the CUDA programming language. It is still very early days but I thought<br />
I would share some of the initial results.<br />
<br />
The type of FEC used in DVB-S2 is called Low Density Parity Check LDPC<br />
and it uses an iterative algorithm to do the decoding, in my case one called<br />
belief propagation also known as the sum-product algorithm.<br />
<br />
<div class="separator" style="clear: both; text-align: center;">
<a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEg5uICfhMSvhJ5QBv4lzcAGRacnqcdPRRuuEHZrRocSzrot82hkL_kUzqU39qsj-yxbLDOnkFvkMWOwvvMtdjXcizmf1_z3NkUuen-Jm3XQqzCmb4E18qFbB4tK01CHLP3ErpXXf2jXV_s/s1600/Screenshot+from+2017-10-05+13-15-32.png" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"><img border="0" data-original-height="691" data-original-width="352" height="400" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEg5uICfhMSvhJ5QBv4lzcAGRacnqcdPRRuuEHZrRocSzrot82hkL_kUzqU39qsj-yxbLDOnkFvkMWOwvvMtdjXcizmf1_z3NkUuen-Jm3XQqzCmb4E18qFbB4tK01CHLP3ErpXXf2jXV_s/s400/Screenshot+from+2017-10-05+13-15-32.png" width="202" /></a></div>
<br />
Above is my software running in off-line test mode decoding a known<br />
DVB-S2 frame. As can be seen the first time it runs with 4 iterations<br />
the frame is unrecoverable. The next time it runs with 10 iterations<br />
and while the baseband header can be decoded all the transport packets<br />
in the body of the message are in error. Finally it is run again with 20<br />
iterations, this time the whole frame can be decoded. Each run uses the<br />
same identical noise sequence added to it<br />
<br />
<div class="separator" style="clear: both; text-align: center;">
<a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjdT_ixML-m-jVWuUXHDznXU0r7_XEsmrjDElGy94Q_vovgtzhSz-b_nAHs53efjvm-aFJC7qX2qqu_bi2ov6ysJZLLhSWYmD-HXh-oIM-s43m53hyphenhyphenQG8YffFbIKfIxmzuLJ3jOXoRJ0vQ/s1600/Screenshot+from+2017-10-03+11-20-57.jpg" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"><img border="0" data-original-height="862" data-original-width="1045" height="263" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjdT_ixML-m-jVWuUXHDznXU0r7_XEsmrjDElGy94Q_vovgtzhSz-b_nAHs53efjvm-aFJC7qX2qqu_bi2ov6ysJZLLhSWYmD-HXh-oIM-s43m53hyphenhyphenQG8YffFbIKfIxmzuLJ3jOXoRJ0vQ/s320/Screenshot+from+2017-10-03+11-20-57.jpg" width="320" /></a></div>
<br />
<br />
<br />
<br />
Above is a example of the modem working in real-time receiving DVB-S2 transmitted<br />
from DATV-Express and being received on ADALM-PLUTO, it is being decoded<br />
totally in software using a GTX980TI GPU. A huge amount of work still needs to be<br />
done before this is of any practical use. The motivation for doing this work is to have<br />
something that will support many of the features not found in commercial DBS<br />
chip-sets and to give me a radio related project for learning CUDA programming on.<br />
There are rumours that DVB-S2X VL_SNR modes may be used on future CUBESAT<br />
Lunar and Martian missions. I agree not many people are going to want to use a<br />
£600 GPU card when a £100 Minitiouner can be used instead, but I am not<br />
just many people! The GPU card running flat out makes a nice room heater.<br />
<br />
There is also a video over on my YouTube channel that shows some moving video<br />
rather than just a frame capture (the software has changed a lot since I made that clip).<br />
<div style="text-align: center;">
<a href="https://www.youtube.com/watch?v=cDY2kZ4uTj8">Quick clip of DVB-S2 software decoding on a GPU</a></div>
G4GUOhttp://www.blogger.com/profile/15634884412587660320noreply@blogger.com0tag:blogger.com,1999:blog-6865153472775099637.post-60644080112780257462017-09-07T21:52:00.000+01:002017-09-10T18:07:52.289+01:00Pluto SDR<div class="separator" style="clear: both; text-align: center;">
<a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEj0lA47yTqplJGDvcnZJs5pyw9PHNKfru-TonXSg4awpZK-OLynoxJitUbF-VNT9KHvGqIs5ah3c5UUt1pgyttrwjPX5vk6SXnsweiX_tSDTC-PFKcSDobo_qr9mQApr6bvJIWMhXQdwwI/s1600/DSC_0030.JPG" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"><img border="0" data-original-height="1060" data-original-width="1600" height="211" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEj0lA47yTqplJGDvcnZJs5pyw9PHNKfru-TonXSg4awpZK-OLynoxJitUbF-VNT9KHvGqIs5ah3c5UUt1pgyttrwjPX5vk6SXnsweiX_tSDTC-PFKcSDobo_qr9mQApr6bvJIWMhXQdwwI/s320/DSC_0030.JPG" width="320" /></a></div>
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<a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgFcvIszcomWmFAVfZBZWcg9oN-wjS3gEHXnh_RuZoP7DB6GORGc2WJkyfCECKQttmB9SHYhX57YQuJLcWHx4WGv_h6Z083DMz3JaDKSfXDKa529H8IyDR5pD0LL-zJfOxkK5QqJ5ialyI/s1600/DSC_0024.JPG" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"><img border="0" data-original-height="1060" data-original-width="1600" height="211" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgFcvIszcomWmFAVfZBZWcg9oN-wjS3gEHXnh_RuZoP7DB6GORGc2WJkyfCECKQttmB9SHYhX57YQuJLcWHx4WGv_h6Z083DMz3JaDKSfXDKa529H8IyDR5pD0LL-zJfOxkK5QqJ5ialyI/s320/DSC_0024.JPG" width="320" /></a></div>
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<a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEiuAiitw3woZYin1GuPABx1yHlJBJqRqOh-kVAuiaNxuQ9vz1maLitOC340TkIUhfjL8vXslz-tYxqsp9_XLHPXGd1dSgEEHOrOMgc5WgDq0xkjShKlw7PcbilNu44M9TD24m4TZgwYZ5o/s1600/DSC_0029.JPG" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"><img border="0" data-original-height="1060" data-original-width="1600" height="211" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEiuAiitw3woZYin1GuPABx1yHlJBJqRqOh-kVAuiaNxuQ9vz1maLitOC340TkIUhfjL8vXslz-tYxqsp9_XLHPXGd1dSgEEHOrOMgc5WgDq0xkjShKlw7PcbilNu44M9TD24m4TZgwYZ5o/s320/DSC_0029.JPG" width="320" /></a></div>
<div class="separator" style="clear: both; text-align: center;">
<iframe allowfullscreen='allowfullscreen' webkitallowfullscreen='webkitallowfullscreen' mozallowfullscreen='mozallowfullscreen' width='320' height='266' src='https://www.blogger.com/video.g?token=AD6v5dzLP5mpBHFNEnuKnP3fNW2SCUcRVtKGSbmwZReR9VHhPpRahXhrJM5AEYYw8ZeeCjyOLz6atgUeZkWnceqBxQ' class='b-hbp-video b-uploaded' frameborder='0'></iframe></div>
I recently bought a couple of ADALM-PLUTO SDRs from Digikey.<br />
I then modified the DATV-Express to work with them<br />
<br />
<div class="separator" style="clear: both; text-align: center;">
<a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEiP04UFmPoZ53U9FJHkLLofU9n5fuNs4QiqwbAL2qCf1PE6jHggMZLEushfYja9Z9AmGPUHir890UAOtrjyOSmADvX34Eeees88V9NCx53AV3pROweyY3e3MtipMl0xmVVpYi6lGCgb_Vg/s1600/express_gui.JPG" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"><img border="0" data-original-height="329" data-original-width="484" height="217" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEiP04UFmPoZ53U9FJHkLLofU9n5fuNs4QiqwbAL2qCf1PE6jHggMZLEushfYja9Z9AmGPUHir890UAOtrjyOSmADvX34Eeees88V9NCx53AV3pROweyY3e3MtipMl0xmVVpYi6lGCgb_Vg/s320/express_gui.JPG" width="320" /></a></div>
The video above is a short test session. The picture was captured by a Logitech<br />
C920 camera, fed into vMix then into DATV-Express it was then transmitted<br />
on 437 MHz using the Pluto-SDR using 64 QAM 2 MHz DVB-T with FEC=7/8.<br />
It was then received using a Hides UT100D and displayed on a PC using their<br />
bundled software.<br />
<br />
I will be presenting a 40 min talk on my efforts with the Pluto at the BATC CAT17<br />
convention. The video will be uploaded to the BATC YouTube channel sometime<br />
after the convention which is being held over the weekend of the 9/10 Sept 2017.<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/AVvXsEh4CrWOElWO8MmDI5nzVwBD1ENI8LPqd6RCk6Kn9785K8Iu9Igo5OxBIB6I9BRhCWBQe4XFKpF63SuO7roid-41SP0aXgYqbXrzbNUHVIqLJ_eAYKuVAyyUzUQGnRCAHrdebPlFWUBC2FQ/s1600/Screenshot+2017-09-07+21.57.36.png" imageanchor="1" style="margin-left: auto; margin-right: auto;"><img border="0" data-original-height="900" data-original-width="1600" height="225" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEh4CrWOElWO8MmDI5nzVwBD1ENI8LPqd6RCk6Kn9785K8Iu9Igo5OxBIB6I9BRhCWBQe4XFKpF63SuO7roid-41SP0aXgYqbXrzbNUHVIqLJ_eAYKuVAyyUzUQGnRCAHrdebPlFWUBC2FQ/s400/Screenshot+2017-09-07+21.57.36.png" width="400" /></a></td></tr>
<tr><td class="tr-caption" style="text-align: center;">DVB-S</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/AVvXsEiplXf6a2sshw9MHMBPE5sWtJJ8HskHJGWlSc2a0Oes2RBwpbefn7RcQIxNHcgA5oeFsEDH54YAXoLmxk95hksd79QfGnEPLjcOx20W9F4o0620N99c-by0qe-atFhyphenhyphenJ1lOWE_f649WfOQ/s1600/Screenshot+2017-09-07+21.58.21.png" imageanchor="1" style="margin-left: auto; margin-right: auto;"><img border="0" data-original-height="900" data-original-width="1600" height="225" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEiplXf6a2sshw9MHMBPE5sWtJJ8HskHJGWlSc2a0Oes2RBwpbefn7RcQIxNHcgA5oeFsEDH54YAXoLmxk95hksd79QfGnEPLjcOx20W9F4o0620N99c-by0qe-atFhyphenhyphenJ1lOWE_f649WfOQ/s400/Screenshot+2017-09-07+21.58.21.png" width="400" /></a></td></tr>
<tr><td class="tr-caption" style="text-align: center;">QPSK Analysis</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/AVvXsEjbnSsNW5U0J1Roz14e-qgLbrETUb2nLoDzMb6Dju_v5nkZHfdnfjl2gx4tMyuBXurKHx2MNAGMd_0UGsoypGCBE9VVa-45P8t7rokiA3QMn_RAn3qGwABLhmYONp5yQKa4tIEV9DXqx_U/s1600/Screenshot+2017-09-07+21.58.39.png" imageanchor="1" style="margin-left: auto; margin-right: auto;"><img border="0" data-original-height="900" data-original-width="1600" height="225" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjbnSsNW5U0J1Roz14e-qgLbrETUb2nLoDzMb6Dju_v5nkZHfdnfjl2gx4tMyuBXurKHx2MNAGMd_0UGsoypGCBE9VVa-45P8t7rokiA3QMn_RAn3qGwABLhmYONp5yQKa4tIEV9DXqx_U/s400/Screenshot+2017-09-07+21.58.39.png" width="400" /></a></td></tr>
<tr><td class="tr-caption" style="text-align: center;">DVB-T</td></tr>
</tbody></table>
I have also included some shots from the Signal Hound BB60C analyser and Spike<br />
software to give you an idea of what the spectrum looks like.<br />
<br />
If you can't wait until CAT17 is uploaded then here is a link to my YouTube Channel<br />
<a href="https://youtu.be/idW3ysqvMno">G4GUO ADALM-PLUTO Talk</a>G4GUOhttp://www.blogger.com/profile/15634884412587660320noreply@blogger.com5tag:blogger.com,1999:blog-6865153472775099637.post-84284150621256289642017-07-05T23:07:00.001+01:002017-07-06T11:54:41.313+01:009 GHz local oscillator source and new test gear<div class="separator" style="clear: both; text-align: center;">
<a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhgBKXLaKRHhUIziRUlk5OOyjpnuH8qXWICMdU3nYwi8tvy0Q7_AEz6hH3NSc4Yd_KSXNe2SLZetQ9fKPjqzDjaBNLnNzF4MKSGMGuLzM36HXY5TBaEl5afYw8aGKereu1Qrdxzdoqrndk/s1600/DALk5oLUQAElikg.jpg" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"><img border="0" data-original-height="900" data-original-width="1200" height="240" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhgBKXLaKRHhUIziRUlk5OOyjpnuH8qXWICMdU3nYwi8tvy0Q7_AEz6hH3NSc4Yd_KSXNe2SLZetQ9fKPjqzDjaBNLnNzF4MKSGMGuLzM36HXY5TBaEl5afYw8aGKereu1Qrdxzdoqrndk/s320/DALk5oLUQAElikg.jpg" width="320" /></a></div>
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<div class="separator" style="clear: both; text-align: center;">
<a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjvYb_4qnILMH4kHG0aym3TvFvWqVJejY7HqLSHdr33hHy8_5hIhuD05zCWcI90CGZyw4ZeXmibVEx0c9hNKPkkm2DyyTr8pl_hQ3nfDRJTkw54Zm1-74D9BgE-r9mSmIQOiDdvx5APvqE/s1600/10+GHz+spectrum.jpg" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"><img border="0" data-original-height="795" data-original-width="1200" height="212" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjvYb_4qnILMH4kHG0aym3TvFvWqVJejY7HqLSHdr33hHy8_5hIhuD05zCWcI90CGZyw4ZeXmibVEx0c9hNKPkkm2DyyTr8pl_hQ3nfDRJTkw54Zm1-74D9BgE-r9mSmIQOiDdvx5APvqE/s320/10+GHz+spectrum.jpg" width="320" /></a></div>
<br />
I recently acquired an Analog Devices ADF41020 18 GHz PLL evaluation board.<br />
It comes fitted with a Hittite HMC515 11.5 - 12.5 GHz VCO which after quite<br />
some effort I replaced with a Hittite HMC510 8.45 - 9.55 GHz VCO. The new VCO<br />
will in fact lock from 7.6 Ghz to 10 GHz. I am getting about 3.5 dBm out of the board.<br />
The output is a lot cleaner than the cheap YIG based oscillator I was using for a 9 GHz<br />
LO. The board itself cost $150 and the replacement VCO $35. I had considerable<br />
difficulty in soldering the part in place. I watched all the YouTube videos on how<br />
to do this sort of thing but it didn't work out as easy as they said it would. The biggest<br />
issue was the ground plane sucking away all the heat and making it almost impossible<br />
to get the solder to flow with the hot air tool, also the no clean flux would boil<br />
away with the slightest amount of heat and lift the chip off the board.<br />
Next time I will practice on some trashed boards but I am too impatient.<br />
The Hittite VCO is the chip in the bottom right corner.<br />
While the Hittite VCO is an expensive part it does also have a divide by 2 and<br />
a divide by 4 output which could make it useful for a multi-band converter.<br />
<br />
Still it makes a change doing hardware for once rather than software.<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/AVvXsEiFFFUJuicQH-Z11jyz3Q8tlpgk2-fWngyb6KNpDJ144s4PK2Wu8oC-nVXEJy_s3tc0BSz10eZvcHJ77h0DgbzT5rKDqUAvBzbAigN57MgwqgqRCCRrJ3VpYqJ34He-UsY172v60WpHi3Q/s1600/DDbuUghXcAA1SI1.jpg" imageanchor="1" style="margin-left: auto; margin-right: auto;"><img border="0" data-original-height="795" data-original-width="1200" height="212" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEiFFFUJuicQH-Z11jyz3Q8tlpgk2-fWngyb6KNpDJ144s4PK2Wu8oC-nVXEJy_s3tc0BSz10eZvcHJ77h0DgbzT5rKDqUAvBzbAigN57MgwqgqRCCRrJ3VpYqJ34He-UsY172v60WpHi3Q/s320/DDbuUghXcAA1SI1.jpg" width="320" /></a></td></tr>
<tr><td class="tr-caption" style="text-align: center;">DVB-S2 displayed on an E4405B</td></tr>
</tbody></table>
<br />
I also recently bought yet another spectrum analyser for my lab. I felt I got it at<br />
a really good price and it is a very clean example. It is only rated to 13.2 GHz.<br />
I do have a much older HP 8952L that can be tricked to cover 24 Ghz but<br />
I have never needed to use the upper range. <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/AVvXsEiUQiATRuR6Awqjcptao38T6MBvTfWS7_eTFT4ejUMXgY3bkJm6jLluXy-vwoR9aAlA3RrqCtlx7HzekNp-zynw5JyKiGZ4nWrpGd3QlYfl72yw4Huh8R-n5JOmcBIk_IXdlvSBieYLATE/s1600/C_xwUrXXgAAazXe.jpg" imageanchor="1" style="margin-left: auto; margin-right: auto;"><img border="0" data-original-height="692" data-original-width="1200" height="184" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEiUQiATRuR6Awqjcptao38T6MBvTfWS7_eTFT4ejUMXgY3bkJm6jLluXy-vwoR9aAlA3RrqCtlx7HzekNp-zynw5JyKiGZ4nWrpGd3QlYfl72yw4Huh8R-n5JOmcBIk_IXdlvSBieYLATE/s320/C_xwUrXXgAAazXe.jpg" width="320" /></a></td></tr>
<tr><td class="tr-caption" style="text-align: center;">Spike QPSK Analysis</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/AVvXsEhkBa6MImntodOTQ85NeIdS3DK5YzN4KrHGCGd4r1TURDO6qTjo0c1_wEHwAt2PhAmb1v6X2lqHAHGvKOrITYBJwNQ9Kga02XTA3vRxMcILUlwDLsFfea3Gzr39RPoOpXQE19TPJBcbE8s/s1600/express2MHz.jpg" imageanchor="1" style="margin-left: auto; margin-right: auto;"><img border="0" data-original-height="900" data-original-width="1600" height="179" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhkBa6MImntodOTQ85NeIdS3DK5YzN4KrHGCGd4r1TURDO6qTjo0c1_wEHwAt2PhAmb1v6X2lqHAHGvKOrITYBJwNQ9Kga02XTA3vRxMcILUlwDLsFfea3Gzr39RPoOpXQE19TPJBcbE8s/s320/express2MHz.jpg" width="320" /></a></td></tr>
<tr><td class="tr-caption" style="text-align: center;">Spike Real time OFDM analysis of a 2 MHz DVB-T signal</td><td class="tr-caption" style="text-align: center;"><br /></td></tr>
</tbody></table>
<br />
Finally I have had the opportunity to experiment with the Spike software<br />
package that comes with the Signal Hound BB60C for carrying out modulation<br />
analysis. The software is constantly evolving and upgrades are free. So hopefully<br />
in time many more modulation analysis features will be added. I would like to see<br />
COFDM added, it is on their roadmap but not in the near future.<br />
<br />
I have a couple of other projects in progress at the moment but they will be<br />
the subject of another blog .G4GUOhttp://www.blogger.com/profile/15634884412587660320noreply@blogger.com0tag:blogger.com,1999:blog-6865153472775099637.post-19949128342032576782017-02-26T12:15:00.001+00:002017-02-26T12:50:53.727+00:00Digital Pre-Distortion Revisted<div class="separator" style="clear: both; text-align: center;">
<a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEih8s-4MzObOCm0aMEfkishADB2FcgbSYmB8SJFTC6iOoktj-wbmMJgnR8tN84scrxwLCHvbWaajFWGhwwHKxfnt9k0EdTt6PiMkXMo5smE1j9bNc0BNbeHClaHUDxVfKDCrdfRq0RTIfc/s1600/pre-distort.JPG" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"><img border="0" height="242" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEih8s-4MzObOCm0aMEfkishADB2FcgbSYmB8SJFTC6iOoktj-wbmMJgnR8tN84scrxwLCHvbWaajFWGhwwHKxfnt9k0EdTt6PiMkXMo5smE1j9bNc0BNbeHClaHUDxVfKDCrdfRq0RTIfc/s320/pre-distort.JPG" width="320" /></a></div>
<br />
<br />
<br />
<br />
As I have mentioned before I have been interested in the digital pre-distortion of<br />
Digital TV signals for some time. I have now finally got around to looking at<br />
this problem again.<br />
<br />
After a literature search I settled on using the polynomial filter model with memory<br />
to do the pre-distortion. The plan is to use a LimeSDR to do the actual modulation and<br />
a CUDA graphics card to do the maths.<br />
<br />
The diagram above is actually quite clever, it uses the input z(n) and output y(n) of the PA<br />
to train a filter to produce the inverse of the PA characteristic. Then it takes the signal to<br />
be transmitted x(n) and passes it through this filter to pre-distort it. The PA then distorts<br />
it back into a signal that looks like the original drive signal x(n). <br />
<br />
The filter is not a normal FIR filter whose taps multiply and accumulate a series of<br />
samples, instead the FIR filter is fed with a power series<br />
x(0) x(0)*|x(0)| x(0)*|x(0)|^2 ... x(0)*|x(0)|^N etc<br />
<br />
As the PA's characteristic will change slowly over time it should only be necessary to<br />
update the filter coefficients on an infrequent basis. This is good because it means the<br />
very intensive Minimum Mean Square Error (MMSE) estimator does not need<br />
to run all the time.<br />
<br />
I plan to use QR Decomposition followed by backwards substitution to estimate the filter<br />
tap values. Fortunately clever people have already written a library to do this for me.<br />
NVIDIA have a library called cuSolver that does it, cuSolver in turn is based on<br />
LAPACK. NVIDIA have very kindly given an example in Appendix C.1 of their toolkit<br />
documentation showing exactly how to do this. The example has to be modified to<br />
deal with complex numbers but that change is trivial.<br />
<br />
It may well be better to run the MMSE estimator on the CPU using LAPACK, rather<br />
than on the GPU as for small matrices the CPU is faster. It is only when the matrices<br />
become large that the GPU excels.<br />
<br />
The beauty of the LimeSDR is that because of it's USB3 interface there is plenty of<br />
bandwidth available. This is needed because the DPD needs to see about 7 times the<br />
bandwidth of the transmitted signal if it is going to reduce the 3rd, 5th and 7th order<br />
IMD products (shoulders to you DATVers).<br />
<br />
Hopefully by doing all this on a PC host rather than using an FPGA I should be able to<br />
get something running fairly quickly. Moving it to an FPGA can come later when I get<br />
some idea of how well it works.<br />
<br />
There are a lot of subtleties to this and I have just glossed over it as I didn't want people<br />
to get too bogged down in the maths.<br />
<br />
If you are interested in more detail please have a look here <a href="http://www.keysight.com/upload/cmc_upload/All/DigitalPreDistortion_MicroApps.pdf">Keysight DPD</a><br />
<br />
Wish me luck!<br />
<br />G4GUOhttp://www.blogger.com/profile/15634884412587660320noreply@blogger.com1tag:blogger.com,1999:blog-6865153472775099637.post-91502367124186267652016-12-12T11:46:00.000+00:002016-12-12T12:33:30.280+00:00There is no heat in my workshop (or how I remoted my IC7100 radio)<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/AVvXsEgoiCBdAzNBxx9itgfQy0u9KvN6HnYkgNnS3Ok1SpF7pXq8rJ_u7MqpR-TVTZQR8SVY7k4500Iw_7H880gmf8u02UUs751JqDOxbsp5JWgv3FtSlUUFXRWJw6N90xSYNd0MhSOhb1NfEGo/s1600/Screenshot+2016-12-12+10.16.29.png" imageanchor="1" style="margin-left: auto; margin-right: auto;"><img border="0" height="225" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgoiCBdAzNBxx9itgfQy0u9KvN6HnYkgNnS3Ok1SpF7pXq8rJ_u7MqpR-TVTZQR8SVY7k4500Iw_7H880gmf8u02UUs751JqDOxbsp5JWgv3FtSlUUFXRWJw6N90xSYNd0MhSOhb1NfEGo/s400/Screenshot+2016-12-12+10.16.29.png" width="400" /></a></td></tr>
<tr><td class="tr-caption" style="text-align: center;">Icom RS-BA1 Remote Control Software</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/AVvXsEi2-UjysQvo9u27eh3rSJrs-D1fuoj-1UAHiD8LPJKoaWj5FbXhd2csonq4hGwrTVisIMA5WF3hBA_0PFf0X40-MlxnH5_hlEnA93s_CHFsGqae3u17JzWsfkHK5ZdA4DL4qm2H9eL8Cjw/s1600/DSCF7520%255B1%255D.JPG" imageanchor="1" style="margin-left: auto; margin-right: auto;"><img border="0" height="300" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEi2-UjysQvo9u27eh3rSJrs-D1fuoj-1UAHiD8LPJKoaWj5FbXhd2csonq4hGwrTVisIMA5WF3hBA_0PFf0X40-MlxnH5_hlEnA93s_CHFsGqae3u17JzWsfkHK5ZdA4DL4qm2H9eL8Cjw/s400/DSCF7520%255B1%255D.JPG" width="400" /></a></td></tr>
<tr><td class="tr-caption" style="text-align: center;">Icom IC7100 rear panel</td></tr>
</tbody></table>
At the moment all my antennas come into a brick built workshop in my back garden.<br />
The workshop has minimal heating so it does not get used during the winter months.<br />
To remedy this situation I bought a used IC7100 on eBay from W&S. I already had <br />
an Ethernet cable going from the house to the workshop, so it was fully networked.<br />
<br />
I had an old Belkin Ethernet to USB hub which I connected to the workshop<br />
network and then plugged the USB2 port on the IC7100 into it. Also connected I<br />
have an LDG AT200PC. The AT200PC is no longer made but has an RS232<br />
control port which was ideal for this application. The 2m/70 cms port on the IC7100<br />
is connected to a Diamond Diplexor which splits the output so it can connect to a<br />
2m and 70 cms yagi. The HF port of the radio goes into the LDG which as well as<br />
being an antenna tuner also is an antenna switch which I can control remotely allowing<br />
me to switch between an HF antenna and a 6m/4m beam. The ATU will be controlled<br />
by a simple Windows dialog application I am writing (the app can currently only read<br />
the version number of the ATU's firmware but that shows it has comms).<br />
<br />
Initially the Belkin would not work with my Windows 10 machine<br />
(it worked fine on Win7). After some Googling I found that while<br />
Bekin don't support it on Windows 10 (their tec support said it could not be done)<br />
it is possible to use under Win10 by downloading updated drivers from the<br />
chip manufacturers website (Silex Technology).<br />
<br />
Now using Icom's RS-BA1 remote software I can fully control my radio and use PC<br />
connected headphones and microphone with it from the warmth of the main house.<br />
To the RS-BA1 software the radio appears to be locally connected via USB2.<br />
<br />
To rotate the VHF/UHF antennas I used my homebrew Arduino based rotator<br />
controller. It appears as a command line application on my desktop and allows<br />
me either to input a bearing or a QRA locator. I have blogged about the rotator<br />
controller before.<br />
<br />
I also have plans to add a multi-mode TNC to the set-up so I can use legacy modes<br />
like Pactor and Amtor remotely. There are still some spare USB2 sockets left on the<br />
hub.<br />
<br />
<div style="text-align: center;">
<span style="color: blue;"><b>Digital Beam Forming on 70 cms</b></span></div>
<div style="text-align: center;">
</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/AVvXsEg7OwwKrws-LhFg8Ydcy0PIldCVPsgxX-RnqyiNrbTDaMmr6pNEd-y2SMIka2uT3wpQRM822e7B_8HQbg7o8nut_mGErr2LDVEZDb035ryGNDf79p9_PxTY2LIkhgdl36sTxLPuthfw3sc/s1600/DSCF7521%255B1%255D.JPG" imageanchor="1" style="margin-left: auto; margin-right: auto;"><img border="0" height="240" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEg7OwwKrws-LhFg8Ydcy0PIldCVPsgxX-RnqyiNrbTDaMmr6pNEd-y2SMIka2uT3wpQRM822e7B_8HQbg7o8nut_mGErr2LDVEZDb035ryGNDf79p9_PxTY2LIkhgdl36sTxLPuthfw3sc/s320/DSCF7521%255B1%255D.JPG" width="320" /></a></td></tr>
<tr><td class="tr-caption" style="text-align: center;">70 cms Turnstile antenna</td></tr>
</tbody></table>
Above is the 70 cms turnstile antenna I bought from a company in Europe.<br />
My current thoughts are to use 16 of these antennas connected to phase/time<br />
locked Lime SDRs to produce a Digital Beam Forming demonstrator. This will<br />
allow the tracking of multiple Cubesats / balloons simultaneously. Unlike a conventional<br />
antenna which can only point in one direction at a time this can have multiple<br />
receiver channels each pointing at a different satellite. It can also steer nulls in the<br />
radiation patterns to null out interferers on each of the beams (It is only maths).<br />
Ideally I would like many more than 16 antennas but there is a limit to the<br />
space and money I have available for this project.<br />
<br />
The signal processing will be done using CUDA C and NVIDIA graphics cards<br />
allowing for potentially hundreds of independent beams. I am happy to collaborate<br />
with others on this project.<br />
<br />
So that is it for this month. I hope you enjoyed my thoughts. G4GUOhttp://www.blogger.com/profile/15634884412587660320noreply@blogger.com2tag:blogger.com,1999:blog-6865153472775099637.post-3235312140142884622016-10-14T23:00:00.001+01:002016-10-14T23:00:30.883+01:00CAT 16, LimeSDR competition and all that jazz<div class="separator" style="clear: both; text-align: center;">
<iframe width="320" height="266" class="YOUTUBE-iframe-video" data-thumbnail-src="https://i.ytimg.com/vi/y5HB4NVSY4s/0.jpg" src="https://www.youtube.com/embed/y5HB4NVSY4s?feature=player_embedded" frameborder="0" allowfullscreen></iframe></div>
<br />
For those that have not seen it here is the talk I gave at CAT16. I also have it on my<br />
YouTube channel but the BATC version includes the Q&A at the end.<br />
<br />
Since that talk was given I have been adding some more features to the program.<br />
I have added better filtering in the FPGA for low symbol rates on DVB-S2,<br />
unfortunately to make that change I had to remove support for the tighter roll-off<br />
filters as there was no room left in the FPGA.<br />
<br />
I plan to add a couple of more features to the program in the next couple of weeks<br />
then put the software into maintenance mode so I can work on other projects.<br />
<br />
As some of you know my entry was selected for the latest<br />
<a href="https://myriadrf.org/blog/digital-design-competition-winner-announced/">LimeSDR design challenge</a><br />
The last few days I have been researching how actually to implement an RF<br />
channel simulator. I now have some ideas on how to generate random<br />
numbers and how to give them a normal distribution. I also now<br />
know the difference between Rayleigh and a Rician fading channels. <br />
The first is a channel where there is no direct path<br />
(for example an HF ionospheric channel) and the latter is where there is a<br />
direct line of sight path as well as other reflected paths. The Rician<br />
channel is more like the type of channels we see with terrestrial DATV.<br />
<br />
Originally I hoped to do most of the maths in the FPGA but now I am beginning to<br />
think a better solution might be to move a lot of the maths into the host and do the<br />
hard real time stuff on the FPGA. There appears to be a lot of log, sine and cosine<br />
operations involved in producing the fading models and while Altera provide mega<br />
functions to do these things they consume quite a lot of space and valuable multipliers.<br />
At the end of the day what will be needed will be a trade-off between precision,<br />
bandwidth, number of paths and ease of development.<br />
<br />
It is an interesting project never the less and should make use of some of the maths<br />
I learn't when I took some O.U courses a few years ago. At least I can<br />
understand most of the concepts that are described in the various internet articles<br />
I have found on the subject. I am sure if I get really stuck I can get help with the<br />
maths. Anyone that helps will get a credit on the project! I may have an A level<br />
in maths, studied Electronics at University and taken some O.U refresher courses<br />
but that doesn't make me an expert.<br />
<br />
I plan first to simply produce software than can set the S/N of a signal. That is not<br />
actually as simple as it first seems but it will be a start. <br />
G4GUOhttp://www.blogger.com/profile/15634884412587660320noreply@blogger.com1tag:blogger.com,1999:blog-6865153472775099637.post-15132129190648943582016-09-08T08:36:00.000+01:002016-09-08T08:57:17.124+01:00S2 Developments<div class="separator" style="clear: both; text-align: center;">
<a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEh23SwuR5lqKLd0uFDHEQXcVhXpLF9GJoaDnuIhALvV8Wk9w6sYuUlnunpv9bDTN1vOX3UDgm3NGQN2tfO6tllVRilv5mp4TDX8PpQ1mfkTRr0QBr8TJ8kZmk0pInaDm7F1nunl08UYg5A/s1600/tk1frontandback.jpg" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"><img border="0" height="239" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEh23SwuR5lqKLd0uFDHEQXcVhXpLF9GJoaDnuIhALvV8Wk9w6sYuUlnunpv9bDTN1vOX3UDgm3NGQN2tfO6tllVRilv5mp4TDX8PpQ1mfkTRr0QBr8TJ8kZmk0pInaDm7F1nunl08UYg5A/s320/tk1frontandback.jpg" width="320" /></a></div>
I have managed to get a little further with the S2 (maybe S2X) decoder.<br />
I now have a decoder for the bi-orthogonal code that S2 uses to <br />
encode the Mode and Code field (MODCOD). Some Googling showed<br />
that the way to do this is to multiply the received codeword by a<br />
Hadamard matrix. You use the index of the maximum entry in the result<br />
and it's sign to give you the received MODCOD value.<br />
The Original S2 protocol used a (32,6) code and this works fine with the<br />
Hadamard approach. S2X has extended this to (32,7) and it is slightly more<br />
tricky to decode. What I have done is to decode it as normal save the maximum<br />
value then subtract the extra line in the S2X generator matrix from the received<br />
codeword then re-run the matrix multiply again. That way I can tell if the extra<br />
bit in the S2X code is a 1 or a 0 by selecting which of the two matrix multiplies<br />
results in the largest maximum value. If the bit is a 1 it means the waveform<br />
conforms to S2X and if it is a zero then it is S2 so the receiver can handle<br />
both standards. There is another bit that is differentially encoded in the<br />
codeword as well which has to be detected and remove before the<br />
bi-orthogonal decode can occur but that is fairly trivial to do.<br />
<br />
I have tested it using a modified version of my S2 transmitter C++ class<br />
so I know it is working (and correcting errors). <br />
<br />
I noticed on Twitter yesterday that there is now a proposal to launch a<br />
lunar orbiting Cubesat in 2018 <a href="https://amsat-uk.org/2016/09/07/5-ghz-to-10-ghz-lunar-transponder-mission/">Heimdallr Lunar Cubesat</a> and that they are<br />
proposing that a S2X 1/5 code be used as part of the experiment.<br />
The proposal is for a 25 kbps data rate. If this makes it off the launchpad<br />
then it will be a very interesting thing to listen for and I should have the<br />
software working long before then.<br />
<br />
I hope to make my S2 decoder scalable so that it can be used on everything<br />
from a TK1 single board computer up to a high end graphics card. Having a<br />
portable TK1 based solution would be ideal but if that fails then there will be<br />
one of my many GPU based PCs to fall back on. The more GPU power<br />
available the closer to the theoretical performance I can achieve so there<br />
is room for a trade off.<br />
<br />
I love challenging (for me) projects!<br />
<br />
G4GUOhttp://www.blogger.com/profile/15634884412587660320noreply@blogger.com2tag:blogger.com,1999:blog-6865153472775099637.post-78784265689366734222016-08-27T19:17:00.000+01:002016-08-28T07:00:26.801+01:00Small steps in DVB-S2 decoder<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/AVvXsEi_k1B7HmqG_2vtE-v98ZXgqbBrBeU-5AUPi1XM2fzhvCeIpzc6zkYau8DTD1R6jHpUeraEG1gE07jxVn2MEpkPb40bxgQsHMQZNGlKirsQoMyPBOFZ5LpCInksdfNeJc91pF4XEiwzSwI/s1600/DSCF7504.JPG" imageanchor="1" style="margin-left: auto; margin-right: auto;"><img border="0" height="240" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEi_k1B7HmqG_2vtE-v98ZXgqbBrBeU-5AUPi1XM2fzhvCeIpzc6zkYau8DTD1R6jHpUeraEG1gE07jxVn2MEpkPb40bxgQsHMQZNGlKirsQoMyPBOFZ5LpCInksdfNeJc91pF4XEiwzSwI/s320/DSCF7504.JPG" width="320" /></a></td></tr>
<tr><td class="tr-caption" style="text-align: center;">NVIDIA Jetson TK1</td></tr>
</tbody></table>
Firstly I finally found a suitable enclosure for the Jetson TK1 I bought a while<br />
ago as you can see in the photo above. The red box is a Hammond enclosure.<br />
I mounted the Jetson on a piece of 1.6 mm Aluminium sheet and below that I<br />
added an SSD.<br />
<br />
The Jetson has a 192 Core GPU as well as USB3 and Gigabit Ethernet so may<br />
well make a nice basis for a portable computer to use with one of the LimeSDRs<br />
I have on order. Last time I played with it I had difficulty in getting the expected<br />
USB3 performance out of it. By default it sets the USB3 port to USB2 only (daft).<br />
<br />
I have done some work on the DVB-S2 receiver software since I last posted.<br />
I managed to write a BCH hard decision decoder. So far I have only tested it with<br />
one of the S2 Normal frame formats but it should work on all the various formats.<br />
The Short frames use slightly different generator polynomials so some extra work<br />
will have to be done to support that. I based it on the RS decoder I wrote a while<br />
ago.<br />
<br />
I have also moved the syndrome calculation code to run on the CUDA device, in my<br />
case that is a GTX980 TI.<br />
<br />
The reason for doing that is the syndrome calculation has to run on every received<br />
frame to check to see if there are any errors. If no errors are detected further<br />
processing is not required. The Host communicates with the Device (GPU)<br />
via PCI and that is very time consuming so it is best to make as few memory<br />
transfers between the GPU and host as possible. The syndromes are quite small<br />
compared to the data frame so the overhead is not very great.<br />
The BCH decoder is implement as a predictor so is not easy to implement using<br />
parallelism, well at least not for me. So it makes more sense to do it on the host.<br />
<br />
One thing I learned today is that if the GPU code takes more than a couple of<br />
seconds to run then Windows times out and resets the graphics card. This can be<br />
avoided by either changing a registry entry or by breaking the code up into smaller<br />
tasks. There is a lot for me to learn. The different types of memory on the GPU<br />
and how you use them is also something that needs careful attention to when<br />
writing code. <br />
<br />
I am not sure how much time I am going to be able to spend on this little project in<br />
the next few weeks as I have been asked to create a video to go with my CAT16<br />
talk at the end of September and that is going to be time consuming no doubt.<br />
<br />
That is it for now.......G4GUOhttp://www.blogger.com/profile/15634884412587660320noreply@blogger.com1tag:blogger.com,1999:blog-6865153472775099637.post-64700104093495291842016-08-14T18:07:00.001+01:002016-08-14T18:17:51.760+01:00DATV-Express on Windows update<div class="separator" style="clear: both; text-align: center;">
<a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgiuwWgCzrJlrP7ej0eu69nkIxmNo_skOixiAbJmXa4HfyQqIfJjU2DEWaJ4d0EqcwxSz28H_vWrQKF0AITdALahbwSWqyD2a-XdsvSNP-4cV4hXEYSuwOLMVnzA0cedYjLwnFHfs8YrYo/s1600/Screenshot+2016-08-14+17.29.51.png" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"><img border="0" height="233" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgiuwWgCzrJlrP7ej0eu69nkIxmNo_skOixiAbJmXa4HfyQqIfJjU2DEWaJ4d0EqcwxSz28H_vWrQKF0AITdALahbwSWqyD2a-XdsvSNP-4cV4hXEYSuwOLMVnzA0cedYjLwnFHfs8YrYo/s320/Screenshot+2016-08-14+17.29.51.png" width="320" /></a></div>
I have been keeping busy even though I have not posted for a couple of months.<br />
After the AMSAT-UK conference it became obvious that DVB-S2 would take<br />
a staring role in the new Es'hailsat 2 Satellite (which apparently is named after the<br />
Arabic name for the star we know as Canopus). The satellite is now scheduled for <br />
a Q3 2017 <a href="https://www.eshailsat.qa/en/satellites/index/">Launch</a>.<br />
<br />
To this end I have ported my Linux DVB-S2 implementation over to Windows.<br />
The actual implementation is a C++ class and runs almost entirely on the host.<br />
This means it uses more CPU than the DVB-S implementation does. I am still<br />
ironing out bugs, by that I mean stuff I have working fine, when given to others<br />
to test is not quite as successful.<br />
<br />
While we have receiver support for normal symbol rates it may be a while before<br />
we have RBTV (Reduced Bandwidth TV) support in place. Still we have a year<br />
to get this all up and running.<br />
<br />
I have also started a new challenge and that is the development of a GPU based<br />
DVB-S2 receiver. I have done some similar work in the past but not at these<br />
high symbol rates. DVB-S2 was specifically designed to take advantage of<br />
parallel processing. I have been looking for an excuse to use the 2816 cores on<br />
my graphics GTX 980 TI card. Originally I had planned on just implementing<br />
the LDPC decoder on the GPU using the "Belief Propagation" algorithm but<br />
bit by bit it is looking like most of the modem will in fact be on the GPU as<br />
it is a better fit than on the CPU.<br />
<br />
After having struggled with Graphics Drivers when installing the NVIDIA<br />
Cuda 7.5 toolkit on my Linux machine it came as a relief when I found how<br />
simple the Windows Toolkit was to install. My only mistake was not installing<br />
Visual Studio 2013 before the toolkit. The current Toolkit does not support<br />
the 2015 edition I was using for development.<br />
<br />
The GPU modem is more an academic exercise than something that would be<br />
practical for most people.<br />
<br />
I am currently looking at ways to estimate the noise variance on the<br />
communications channel as this is required to calculate the Log Likelyhood<br />
Ratios LLRs which are required for the BP algorithm.<br />
This is really pushing my maths skills. Wish me luck!<br />
<br />G4GUOhttp://www.blogger.com/profile/15634884412587660320noreply@blogger.com0tag:blogger.com,1999:blog-6865153472775099637.post-79433768054963565162016-06-11T17:02:00.000+01:002016-06-11T17:10:04.939+01:00EVM measurements of DATV-Express<div class="separator" style="clear: both; text-align: center;">
<a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgB21aNEmo2cmMJWHB5rl0HqVgGsstoPLUoidmbSmaYIlJlXv0bqQ0nv1GDyj2S2GA_G5fX3TxQOEKYYnW_K_8-GGvnkA5D4zs1oJz64WF5RMYDNXb1dJgSJwhPHLq3ZjNE7ZzoWut43Mk/s1600/DSCF7493.JPG" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"><img border="0" height="240" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgB21aNEmo2cmMJWHB5rl0HqVgGsstoPLUoidmbSmaYIlJlXv0bqQ0nv1GDyj2S2GA_G5fX3TxQOEKYYnW_K_8-GGvnkA5D4zs1oJz64WF5RMYDNXb1dJgSJwhPHLq3ZjNE7ZzoWut43Mk/s320/DSCF7493.JPG" width="320" /></a></div>
<br />
<br />
<br />
<br />
Above is the EVM measurement taken of DATV-Express using an Agilent E4406A.<br />
It is of an unmodified board with no IQ offset applied. Some of the error is due to<br />
a symbol rate mismatch between Express and the test gear. Express derives it's<br />
symbol rate from a cheap xtal oscillator (the one used for the USB2 clock).<br />
When generating the same waveform using an Agilent E4437B using a common<br />
reference the EVM is only a couple of percent better.<br />
<br />
The tests were done using the W-CDMA option that allows QPSK EVM<br />
measurements to be taken provided the symbol rate is around<br />
4 MSymbols per second.<br />
<br />
The maths <br />
<br />
EVM (%) = √(P<sub>error</sub>/P<sub>ref</sub>) x 100<br />
<br />
Where P<sub>error<span style="font-size: small;"> is the power of the error vector and</span> </sub>P<sub>ref <span style="font-size: small;">is the power of the ideal reference.</span></sub><br />
<sub><br /></sub>
G4GUOhttp://www.blogger.com/profile/15634884412587660320noreply@blogger.com0tag:blogger.com,1999:blog-6865153472775099637.post-70765566268207371402016-06-07T09:38:00.000+01:002016-06-07T10:26:36.252+01:00Couple of mods that I have done to DATV-Express<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/AVvXsEhRRUkFdvRtfPNavghecJNrbXWYDqD_DMYDTpVrDgU9BX8YqyI9hhOaAgCJpVcZ86buSmL2MiewjIPVUIOgyujuLYvLgoZqeh_N6bQhjo38Tvolk9vAJfRbTs9VGfDH7-knGRyGTOgS8Yc/s1600/DSCF7489.JPG" imageanchor="1" style="margin-left: auto; margin-right: auto;"><img border="0" height="240" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhRRUkFdvRtfPNavghecJNrbXWYDqD_DMYDTpVrDgU9BX8YqyI9hhOaAgCJpVcZ86buSmL2MiewjIPVUIOgyujuLYvLgoZqeh_N6bQhjo38Tvolk9vAJfRbTs9VGfDH7-knGRyGTOgS8Yc/s320/DSCF7489.JPG" width="320" /></a></td></tr>
<tr><td class="tr-caption" style="text-align: center;">External reference added</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/AVvXsEjtiYhCyY6fKK7QozTu3f6-5-W4rYFB1IwtGT7oN8K1e8svplbKeQr7eRyfVkqusJxYxSGhcoxay5ICn21PKBxxEPSg_rUPS4xeJlmKv5PYZNkPGs3ugbZStGKz4vAi43GGpEb8agC-Gig/s1600/datv-express_cap_tests.gif" imageanchor="1" style="margin-left: auto; margin-right: auto;"><img border="0" height="233" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjtiYhCyY6fKK7QozTu3f6-5-W4rYFB1IwtGT7oN8K1e8svplbKeQr7eRyfVkqusJxYxSGhcoxay5ICn21PKBxxEPSg_rUPS4xeJlmKv5PYZNkPGs3ugbZStGKz4vAi43GGpEb8agC-Gig/s320/datv-express_cap_tests.gif" width="320" /></a></td></tr>
<tr><td class="tr-caption" style="text-align: center;">C91 change</td><td class="tr-caption" style="text-align: center;"><br /></td></tr>
</tbody></table>
The first was to modify one of my boards to accept an external frequency reference<br />
in this case 10 MHz. The reference must be greater than 0.3V pk-pk and less<br />
than 4v pk-pk.<br />
<br />
The second change I made was to change C91 in the PLL filter from 4n7 to 47n.<br />
As you can see from the phase noise plot this reduces the noise at 100 KHz by<br />
around 17 dB. I very much doubt this makes much difference to the DVB-S<br />
performance but as I intend using the Express board for SSB as well, the<br />
2 changes I have made should make a difference.<br />
<br />
I am currently waiting for my SRP (Special Research Permit) for 71 MHz to<br />
arrive, more on that when it turns up.<br />
<br />
I am also waiting on some eBay 'bargains' to arrive as well. These include some<br />
tunable 50 - 80 Mhz BPFs from Poland that I will put on the VNA as soon as<br />
they turn up.<br />
<br />
Finally I have added an E4437B 4 GHz signal generator to my rack of test gear.<br />
It is the unit at the top of the pile. I offered the dealer around half what he was<br />
asking and I was surprised when he accepted the offer. The guy on the <br />
<a href="http://thesignalpath.com/blogs/">Signal Path Blog</a> recently torn down and repaired one of these units, so I had<br />
an idea of the risk before I bought. <br />
<br />
I was getting a bit frustrated with my old Marconi 1 GHz signal generator as<br />
most of my activities are above 1 GHz now.The generator has lots of neat<br />
features including the ability to do multi tone testing of amplifiers and of<br />
playing back test waveforms downloaded over GPIB.<br />
<br />
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<a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhIBuCCxEW8Z9pu9X_WGoJSvrQw1Kx0NIuPrfFnd68Y-3l7YaHhyphenhyphenRXGzOzW5DN7L2inW2QSZ8xkq5qIucgZAz6repaRIiGI5kP4P9N4nDRzzbjyWKVVmE0Nbj77EpDP42MVzgQxFKgejgk/s1600/DSCF7488.JPG" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"><img border="0" height="320" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhIBuCCxEW8Z9pu9X_WGoJSvrQw1Kx0NIuPrfFnd68Y-3l7YaHhyphenhyphenRXGzOzW5DN7L2inW2QSZ8xkq5qIucgZAz6repaRIiGI5kP4P9N4nDRzzbjyWKVVmE0Nbj77EpDP42MVzgQxFKgejgk/s320/DSCF7488.JPG" width="240" /></a></div>
<br />
Other projects in the pipeline include 70 Mhz PA re-vamp and a universal<br />
receive converter for DATV (it uses eBay surplus so isn't reproduceable at<br />
low cost).<br />
<br />
That is all for now.G4GUOhttp://www.blogger.com/profile/15634884412587660320noreply@blogger.com0tag:blogger.com,1999:blog-6865153472775099637.post-74062172542415618882016-05-04T09:12:00.000+01:002016-05-04T11:23:12.504+01:00SDR part 2<div class="separator" style="clear: both; text-align: center;">
<a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEiM9mKP62QNGweemsMBrhlCBLQiyVziWYBRkVU1B3NERl2MbX9I2hgG4vQ6ANboHp7sVE0D9nfdVoK-HDRypyJ_JyZ537i1b5722LK9Leboi7GqyepCkJ1QDik-zM_AtcftredJ6zFMqbI/s1600/Screenshot+2016-04-28+17.04.07.png" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"><img border="0" height="174" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEiM9mKP62QNGweemsMBrhlCBLQiyVziWYBRkVU1B3NERl2MbX9I2hgG4vQ6ANboHp7sVE0D9nfdVoK-HDRypyJ_JyZ537i1b5722LK9Leboi7GqyepCkJ1QDik-zM_AtcftredJ6zFMqbI/s320/Screenshot+2016-04-28+17.04.07.png" width="320" /></a></div>
<br />
Work on the SDR continues but it is proving to be quite complicated to<br />
get to work. I am currently working on the ADC interface to the software.<br />
<br />
Originally I tried to implement it with plain logic but that did not prove fast<br />
enough. I am now doing the job properly using ISERDESE2 and IDELAYE2<br />
blocks.<br />
<br />
The ISERDESE2 block does the serial to parallel conversion but<br />
it is necessary to use IDELAYE2 blocks to delay the sample clocks so they<br />
are centred at the eye of the symbol. The reason for this is the time uncertainty due <br />
to a delays caused by buffering and routing of the high speed data clock.<br />
<br />
The software has to go through a training sequence where it moves the sample<br />
point to find the bit transition points. This is controlled by a state machine.<br />
An ISERDESE2 block is used in the clock sync subsystem were it<br />
correlates the clock against itself to find the optimum sample point. More<br />
ISERDESEs are used for the actual de-serialisation of the data lanes.<br />
There are 2 data lanes per channel and four channels.<br />
The channels operate at 500 MHz (4 x 125 MHz). Data is read on both<br />
the rising and the falling edges of the data clock.<br />
Because of the delay added by the IDELAYE2 to the data clock it is also<br />
necessary to use bit slipping to regain frame alignment of the bitstream.<br />
<br />
The good news is that according to the Xilinx data sheet what I am trying to do<br />
is well within the abilities of my Zynq, it is just going to take a bit longer than<br />
I had hoped.<br />
<br />
On the bright side this exercise is forcing me to finally learn how to write code<br />
for Zynq based systems as I have had to use so many aspects of the device.<br />
<br />
I have FreeRTOS working as the embedded OS, DMA from PL to PS working.<br />
SPI comms to the ADC working and of course TCP/IP/Ethernet using<br />
lwip for comms working. <br />
<br />
I have included an image of the prototype system talking to SDR# using the<br />
NetSdr protocol used by RFSpace just to prove I have been busy.G4GUOhttp://www.blogger.com/profile/15634884412587660320noreply@blogger.com0