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A MPSK modulation classification method based on the maximum likelihood criterion

In this paper, a general expression of feature parameter for the classification of MPSK signals based on maximum likelihood criterion is presented. For the real signals, three modified measures are given to improve the identification performance. The success rates for real signals BPSK, QPSK, 8PSK and 16PSK are higher than 80%.