QRSS Gallery 2

More QRSS action. Below is a grab from SA6BSS showing the G0PKT beacon on 50Mhz during a Sporadic E opening in June 2025. Transmitter power is 1w. Unusually good reception for 50Mhz, considering that most openings that I've observed tend to be only a few minutes long, often with heavy signal fading and partial callsign fragments.

And now for something different - microwave QRSS ! DL3PB sent a 2.4Ghz band QRSS signal to the OSCAR 100 satelilte. Downlink is on 10GHz. Live SDR here - https://eshail.batc.org.uk/nb/ 

As DL3PB says in a Knights QRSS post he used - Pluto+ SDR - a generous gift from a friend, Gnu-Radio - took me a while to become familiar with, a tiny MMIC amplifier with nominal 100mW max and a  panel antenna with 18dBi (30 x 30cm).

I didn't make much effort to position the antenna as it has a 3dB beam-width of ~10° and the window would not even allow a perfect alignment. Hardest part was to find my signal on said web-SDR, it was barely visible on the waterfall and 'of course' it was about 1kHz off, not really a surprise as the Pluto+ has a 0.5ppm TCXO. 'Argo' pulled it out, though the rat looks a bit exhausted after a trip of almost 40000km one way.  Immediately below - the signal that Peter sent via QO-100 complete with periodic drift, a pet rat and Peter's callsign. Below that is a grab courtesy of G6AVK of a basic FSKCW signal from DL3PB.

And a celebratory lap of honour transmission  as sent on 20m, showing a satellite and Peter's callsign.

Graphical QRSS. More from Peter DL3PB again, this time he has converted a small picture to audio tones, and then they are converted back to a picture using QRSS grabber software such as Argo, QRSSPIG etc.  On the left hand side below you can see a shot of myself using Argo, and I was testing the system using different display speeds. On the right is DL3PB's own local grab.

The method of conversion from picture to sound is by using Spectrographic.  (I have personally not used it]. For anyone interested in doing a test decode here is an 8 Megabyte wav file to play with. Feedback from Peter says that the Spectrographic application is a Python app, and took about 2 hours to convert a small picture to a sound file on a Raspberry Pi 2. Below - some more graphical tests from DL3PB.

Well done Peter.

Note - this page is a work in progress.