A New Classification Algorithm of MPSK Signals Based on Phase Distribution

摘要

Based on the phase distribution which is defined in this paper, a new classification algorithm of M-ary phase shift keying (PSK) signals is proposed. To classify the modulation type of the M-ary PSK signal, the phase distribution of the unclassified signal is calculated firstly, and then the characters of the signal modulation are extracted by computing the FFT of the phase distribution. Moreover, the method is improved in this paper that it is extended to MPSK baseband signals with frequency offset, and the calculation complexity is reduced. Simulation result shows that the accuracy rate of the classification of BPSK, QPSK and 8PSK signals can reach 98.5% when the symbol length is 500, SNR is 3dB, and 16PSK signals can also be well classified when the SNR improves to 9dB.