DVB-T Spectrum Sensing for Federated Learning

<p>These files contain measurement results achieved in the following scenario:<br>Rohde&amp;Schwarz SMBV100A signal generator transmits OFDM signal (center frequency 2000.0 MHz) with different amplifier gain.<br>A single PC with GNU Radio and connected USRP receives a signal with a central frequency of 2000 MHz (filtered 8 MHz bandwidth).&nbsp;<br><br>Received is set in six different positions (location of sensors presented on the figure&nbsp; "position.png") - creating 6 files - and collects data to detect the presence of a transmitted signal. Data that can be found in the files is stored in CSV format to be easily analyzed in ML models.&nbsp;</p> <p>Data collected during this experiment contains:<br>- column with average received power in the analyzed channel (in mW)<br>- column with autocorrelation value<br>- column with decision metric (calculated as maximum eigenvalue divided by minimum eigenvalue - look below)<br>- 8 columns with eigenvalues of the Pearson correlation matrix (8 subsequent vectors of 32768 samples)<br>- column with information about signal transmission (label; 0 - noise, 1 - signal transmitted)</p>