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
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