The Maximum-Likelihood SNR Estimation Algorithm for QAM Signals

摘要

The data-aimed maximum-likelihood (ML) Signal-to-Noise Ratio (SNR) estimation algorithm (DAML), Decision-Directed ML SNR estimation algorithm (DDML) and an iterative ML SNR estimation algorithm for QAM signals are presented in this paper. The performance analysis, computer simulation and performance comparing with another blind SNR estimation algorithm and Cramer-Rao Lower Bounds (CRLB) are completed. And then the corresponding conclusions are derived.