DocumentCode :
751244
Title :
Maximum Likelihood Sequence Estimation of Binary Sequences Transmitted Over Bandlimited Nonlinear Channels
Author :
Mesiya, Mohammed Farooque ; McLane, Peter J. ; Campbell, L. Lorne
Author_Institution :
Canada Wire and Cable Co. Ltd.,Toronto,Ont.,Canada
Volume :
25
Issue :
7
fYear :
1977
fDate :
7/1/1977 12:00:00 AM
Firstpage :
633
Lastpage :
643
Abstract :
The problem of designing and evaluating the performance of a maximum likelihood sequence receiver for binary PSK transmission over bandlimited nonlinear channels is considered in this paper. The effects of intersymbol interference followed by AM/AM and AM/PM conversions are taken into account while optimizing the performance in the presence of white Gaussian noise. A new representation for the output of a bandpass nonlinearity is given when the input consists of a carrier signal modulated by a sum of binary overlapping pulses. The structure of a maximum likelihood sequence receiver for a bandlimited nonlinear channel is derived using this representation. The receiver uses a modified Viterbi algorithm to determine the most likely sequence of data symbols transmitted. An upperbound on the probability of symbol error for this receiver is obtained. Numerical results illustrating the applicability of the present work to optimizing the performance of a digital satellite communications link are also presented.
Keywords :
Amplifier distortion; Band-limited communication; Nonlinear distortions; PSK signal detection; Satellite communications; Sequence estimation; Traveling-wave tubes; maximum-likelihood (ML) estimation; Amplitude modulation; Bandwidth; Binary sequences; Gaussian noise; Intersymbol interference; Maximum likelihood estimation; Phase shift keying; Pulse modulation; Satellite communication; Viterbi algorithm;
fLanguage :
English
Journal_Title :
Communications, IEEE Transactions on
Publisher :
ieee
ISSN :
0090-6778
Type :
jour
DOI :
10.1109/TCOM.1977.1093884
Filename :
1093884
Link To Document :
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