Title :
The Maximum-Likelihood SNR Estimation Algorithm for QAM Signals
Author :
Xu, Hua ; Zheng, Hui
Author_Institution :
Nat. Key Lab. of Blind Signals Process., Sichuan
Abstract :
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
Keywords :
iterative methods; maximum likelihood estimation; quadrature amplitude modulation; Cramer-Rao lower bounds; QAM signals; blind SNR estimation algorithm; data-aimed maximum-likelihood SNR estimation algorithm; decision-directed ML SNR estimation algorithm; signal-to-noise ratio; Constellation diagram; Frequency estimation; Iterative algorithms; Laboratories; Maximum likelihood estimation; Microstrip; Phase estimation; Quadrature amplitude modulation; Signal processing; Statistics;
Conference_Titel :
Signal Processing, 2006 8th International Conference on
Conference_Location :
Beijing
Print_ISBN :
0-7803-9736-3
Electronic_ISBN :
0-7803-9736-3
DOI :
10.1109/ICOSP.2006.345843
