Abstract
In this paper, a procedure for automatic classification of MPSK signals, with M=2,4 and 8 is proposed. The developed algorithm utilizes the pattern recognition approach. This is based on counting the number of states in the signal constellations, which is derived from the complex envelope of a received signal. Computer simulations for 100 realizations of each type of band-limited MPSK signal (M=2, 4, and 8) corrupted with band-limited Gaussian noise are performed. It is found that the number of levels is correctly estimated at the SNR of 10 dB.
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