The current outputs produced by the usrp_spectrum_sense.py code do not provide the bin metrics that are required for my application. The metrics are detection time, true detection power, the center frequency of the transmission, the centroid, and transmission bandwidth. It was recommended to create a second signal processing block chain in a new class similar to the existing "top_block" which performs the sample rate reduction and bin metrics computation. This chain would only be called for detections that pass the threshold test.
The main idea is that Spectrum Monitoring System sweeps through the full frequency range at a coarse FFT resolution, picks out frequencies where something is present, and goes back and does higher-resolution scans of these regions until a candidate frequency is selected for bin metrics. It does not have to be in real time. We are using HackRF One. I was wondering if I can receive guidance on implementing the main idea in python. -- View this message in context: http://gnuradio.4.n7.nabble.com/usrp-spectrum-sense-py-tp63994.html Sent from the GnuRadio mailing list archive at Nabble.com. _______________________________________________ Discuss-gnuradio mailing list Discuss-gnuradio@gnu.org https://lists.gnu.org/mailman/listinfo/discuss-gnuradio