|Student Name:||John A. Hadjis, Lt|
|Thesis:||Modulation Classification of Common Communication and Pulse Compression Radar Waveforms using Cyclic Features|
|Location:||Bldg 640, Rm 317|
|Date & Time:||02/25/2013 at 1300|
|Abstract:|| This research develops a non-cooperative, feature-based MAP classification system and applies it for classification of many common pulse compression radar and communication modulations. All signal parameters are treated as unknown to the classifier system except SNR and the signal carrier frequency. The features are based on estimated duty cycle, cyclic spectral correlation, and cyclic cumulants. The modulations considered in this research are BPSK, QPSK, 16-QAM, 64-QAM, 8-PSK, and 16-PSK communication modulations, as well as Barker 5 coded, Barker 11 coded, Barker 5*11 coded, Frank 49 coded, Px 49 coded, and LFM pulse compression modulations. It is shown that the selected classification signal features are sensitive to signal bandwidth but not to carrier frequency. Also, the simulations show that an average signal modulation type classification rate greater than 90% is achieved at SNR=9dB, an average signal modulation family classification rate greater than 90 is achieved at SNR= 1dB, and an average communication vs pulse compression radar modulation classification rate greater than 90% is achieved at SNR= -4dB.