DocumentCode
1190276
Title
Maximum likelihood estimation of SNR using digitally modulated signals
Author
Chen, Yunfei ; Beaulieu, Norman C.
Author_Institution
Dept. of Electr. & Comput. Eng., Alberta Univ., Edmonton, Alta.
Volume
6
Issue
1
fYear
2007
Firstpage
210
Lastpage
219
Abstract
The problem of estimating two measures of signal-to-noise ratio (SNR) is investigated, both for static and slowly fading channels without memory. Maximum likelihood SNR estimators that use digitally modulated signals are derived for sampled signal processing receivers as well as continuous time signal processing receivers. The performances of the estimators are examined analytically in terms of biases and root-mean-squared errors. Numerical results are presented to show their good performances
Keywords
fading channels; maximum likelihood estimation; mean square error methods; modulation; radio receivers; signal sampling; SNR; continuous time signal processing receivers; digitally modulated signals; fading channels; maximum likelihood estimation; root-mean-squared errors; sampled signal processing receivers; signal-to-noise ratio; AWGN channels; Digital modulation; Diversity reception; Fading; Maximum likelihood estimation; Performance analysis; Phase shift keying; Pulse modulation; Signal processing; Signal to noise ratio;
fLanguage
English
Journal_Title
Wireless Communications, IEEE Transactions on
Publisher
ieee
ISSN
1536-1276
Type
jour
DOI
10.1109/TWC.2007.05098
Filename
4114271
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