DocumentCode :
1165428
Title :
An adaptive maximum likelihood receiver for correlated Rayleigh-fading channels
Author :
Dam, Wayne C. ; Taylor, Desmond P.
Author_Institution :
Commun. Res. Lab., McMaster Univ., Hamilton, Ont., Canada
Volume :
42
Issue :
9
fYear :
1994
fDate :
9/1/1994 12:00:00 AM
Firstpage :
2684
Lastpage :
2692
Abstract :
The paper develops a receiver structure for random Gaussian signals in additive noise based on the classic maximum likelihood (M-L), estimator-correlator derivation of Kailath [1960], and applies it to differential phase shift keying (DPSK) on the correlated Rayleigh-fading channel. It is shown to lower the error floor found in the performance of conventional DPSK receivers by orders of magnitude. In addition, the maximum-likelihood procedure is shown to make uncorrelated symbol decisions. The performance of both conventional and optimal receivers, which require knowledge of the channel statistics, is examined analytically. A recursive, channel-adaptive version of the optimal receiver, utilizing decision feedback to estimate the channel statistics, is developed. Its simulated performance shows no penalty compared to theoretical calculations which require explicit knowledge of the channel statistics
Keywords :
adaptive systems; correlation methods; estimation theory; fading; maximum likelihood estimation; parameter estimation; phase shift keying; random processes; receivers; signal detection; stochastic processes; telecommunication channels; DPSK; adaptive maximum likelihood receiver; additive noise; channel statistic; correlated Rayleigh-fading channels; decision feedback; differential phase shift keying; error floor; performance; random Gaussian signals; receiver structure; recursive channel-adaptive version; uncorrelated symbol decisions; Additive noise; Differential phase shift keying; Differential quadrature phase shift keying; Feedback; Maximum likelihood estimation; Performance analysis; Phase estimation; Rayleigh channels; Statistical analysis; Statistics;
fLanguage :
English
Journal_Title :
Communications, IEEE Transactions on
Publisher :
ieee
ISSN :
0090-6778
Type :
jour
DOI :
10.1109/26.317409
Filename :
317409
Link To Document :
بازگشت