DocumentCode
828095
Title
An approximate maximum likelihood estimator for SNR jointly using pilot and data symbols
Author
Chen, Yunfei ; Beaulieu, Norman C.
Author_Institution
Dept. of Electr. & Comput. Eng., Alberta Univ., Edmonton, Alta., Canada
Volume
9
Issue
6
fYear
2005
fDate
6/1/2005 12:00:00 AM
Firstpage
517
Lastpage
519
Abstract
A novel maximum likelihood-based estimator for signal-to-noise ratio (SNR) is derived. Previous SNR estimators are mainly based on using either the pilot symbols or the data symbols. However, in a practical communication system, a frame usually consists of both pilot and data symbols. In this work, a new SNR estimator that uses all available symbols (pilot and data) in a frame is developed for binary phase shift keying signals. The performance of this estimator is examined. Numerical results are presented to show the potential improvement obtained by using this new estimator.
Keywords
approximation theory; maximum likelihood estimation; phase shift keying; binary phase shift keying signal; communication system; data symbol; maximum likelihood-based estimator; pilot symbol; Binary phase shift keying; Digital communication; Filtering; Matched filters; Maximum likelihood decoding; Maximum likelihood estimation; Phase estimation; Power control; Signal processing; Signal to noise ratio;
fLanguage
English
Journal_Title
Communications Letters, IEEE
Publisher
ieee
ISSN
1089-7798
Type
jour
DOI
10.1109/LCOMM.2005.1437356
Filename
1437356
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