The simple SNR estimation algorithms for MPSK signals

The data-aimed signal-to-noise ratio (SNR) estimation algorithm (ADML), decision-directed SNR estimation algorithm (DDML) and a new blind SNR estimation algorithm for MPSK signals over an additive white Gauss noise channel (AWGN) have been presented in this paper by using maximum-likelihood (ML) principle. The ADML has perfect performance and is as good as the performance lower bounds. The performance of DD algorithm depends directly on the accuracy of decision, so it´s good for high SNR, but suffers when the SNR is low and especially, less than 0 dB. The new blind SNR estimation algorithm has good performance and low computational complexity for M=2(BPSK), but the performance degrades when M is increasing. The brief performance analysis, computer simulation and performance comparing with other SNR estimation algorithms are also given in this paper.