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Signal Identification Wiki
- curiousfab 3y agoIf you find "wave hunting" this interesting but don't have a SDR / receiver of your own, there are plenty of (free to use) WebSDRs to get started: http://websdr.org/ http://websdr.org/
- itishappy 3y agoIt's also surprisingly cheap! RTL SDR kits go for about $40.
- _Microft 3y agoIs there a good way to get one from within the EU? They stopped shipping directly iirc.
- wdfx 3y agoGet them from Aliexpress instead. I think you can find both genuine RTL-SDR devices and of course all sorts of clones. Some clones may also have better features and specs. I bought a clone RSP1 and it works very well.
- fullspectrumdev 3y agoAmazon Germany has them? They are just the DVB dongles…
- rollulus 3y agoAre there any ML approaches to identifying signals? Since using a receiver that produces sound given a FM/SSB demodulation of whatever true modulation is used, or visually inspecting a waterfall certainly has limitations.
- viraptor 3y agoML feels like an overkill for a single signal. If you want to process large, wideband scans, you could iterate over peaks and check things like: does phase shift create any interesting set of points, does PLL find consistent amplitude keying, does the frequency move around the centre. That covers 99% of what you're going to find in the wild. The first part (transform the signal) is definitely not great for ML, but the second part (does the result look like set of points / digital on/off key / voice) could be classified that way. There are some existing projects like https://github.com/randaller/cnn-rtlsdr https://github.com/randaller/cnn-rtlsdr (that one tries to identify more specific tv signals though)
- anilakar 3y agoAutomatic classifiers tend to look for power above the background noise and then AM demodulate the signal around it. That demodulated signal, or video as it's called, is centered around 0 Hz and can be matched against a database of spectrum masks for various modulations, baud rates and other parameters. No neural nets required. Just good old regression.
- vdqtp3 3y agoSo how would they fare against something below the noise floor, like FT8
- trothamel 3y agoFT8 isn't actually below the noise floor if you look at the bandwith the signal is detected in, rather than the 2500 Hz reference bandwidth. https://tapr.org/pdf/DCC2018-KC5RUO-TheReal-FT8-JT65-JT9=SNR.pdf https://tapr.org/pdf/DCC2018-KC5RUO-TheReal-FT8-JT65-JT9=SNR... Has details, but basically you should add 26 dB to account for the difference between 2500 Hz and the 6.25 Hz bandwidth each FT8 tone is detected in.
- jjoonathan 3y agoRohde & Schwarz ran a contest on this idea a while ago. I can't find a link with a quick google, but I'm pretty sure I'm not making it up -- if anyone here knows more I'd love to know what came of that.
- invokestatic 3y agoDepending on the frequency and source maprad.io may be more useful for identifying signals.
- CodeBeater 3y agoOh wow! Definitely appreciate this new (to me) resource, as I've been in quite a radio kick recently.
- deleted 3y ago[deleted]
- freedomben 3y agoThe HN hug strikes again! What I saw before it went down was pretty amazing though, and definitely something I will be returning to later when the heat dies down.
- kps 3y agoAll the recent ones sound like noise, of course, but this one is musical: https://www.sigidwiki.com/wiki/Inmarsat-D(D%2B)_Downlink https://www.sigidwiki.com/wiki/Inmarsat-D(D%2B)_Downlink
- tiagod 3y agoTry starting the three players in that page all at once!
- ElectricalUnion 3y agoI don't know if the 1970 counts as new, but this one sounds pretty musical to me: https://www.sigidwiki.com/wiki/Jindalee_Operational_Radar_Network_(JORN) https://www.sigidwiki.com/wiki/Jindalee_Operational_Radar_Ne...
- andai 3y agoThese spectrograms are so cool. Can someone explain why it uses that pattern?
- deleted 3y ago[deleted]
- MandieD 3y agoFor those of you already set up to receive or send WSPR, FT8, or CW (Morse code), make sure you’re receiving and sending reports tomorrow during and around the eclipse (1200-2200 UTC) More info here: https://hamsci.org/eclipse https://hamsci.org/eclipse
- ianpenney 3y agohttps://www.rac.ca/simulated-emergency-test-2023-operation-dark-skies/ https://www.rac.ca/simulated-emergency-test-2023-operation-d... > The Simulated Emergency Test (SET) is a Canada-wide exercise in emergency communications, which is administered by Radio Amateurs of Canada’s Community Services Officer and Section Managers.This year ‘s event is known as “Operation Dark Skies” and will be held in two parts which are described (here). Our club will be on the air. https://www.skywide.ca/acs/ https://www.skywide.ca/acs/
- deleted 3y ago[deleted]
- eternityforest 3y agoSuper cool! Looks like all the data is in a fairly decently scrapable format. Could one, in theory at least, add auto-identificaton to an SDR app? Is there an (possibly ML) algorithm that says "take this single example picture and tell me if there is a match(Which could be scaled differently) in this other picture"?
- RationPhantoms 3y agoI love that idea. There was that fun app that identifies birds by recording their sounds. I would love the same for signals.