DocumentCode
1939511
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
Volume
3
fYear
2006
fDate
16-20 Nov. 2006
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Signal Processing, 2006 8th International Conference on
Conference_Location
Beijing
Print_ISBN
0-7803-9736-3
Electronic_ISBN
0-7803-9736-3
Type
conf
DOI
10.1109/ICOSP.2006.345843
Filename
4129270
Link To Document