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
fDate :
6/1/2005 12:00:00 AM
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;
Journal_Title :
Communications Letters, IEEE
DOI :
10.1109/LCOMM.2005.1437356
