Paper Info
Title
EM Algorithm for Sequence Estimation over Gauss-Markov ISI Channels
Abstract
This paper presents a new algorithm, basedon an EM (Expectation-Maximization) formulation, forML (maximum likelihood) sequence estimation over unknownISI (inter-symbol interference) channels with randomchannel coefficients which have a Gauss-Markov fasttime-varying distribution. By using the EM formulationto marginalize over the channel coefficient distribution,maximum-likelihood estimates of the transmitted sequenceare obtained. This EM algorithm is shown to perform better,in terms of ...
Year
DOI
Venue
2000
10.1109/ICC.2000.853055
ICC (1)
Keywords
Field
DocType
ber,maximum likelihood estimation,finite impulse response filter,expectation maximization,bpsk,gaussian distribution,em algorithm,intersymbol interference,bit error rate,optimization,maximum likelihood estimate,maximum likelihood sequence estimation,phase shift keying,transient response
Mathematical optimization,Gauss,Intersymbol interference,Computer science,Expectation–maximization algorithm,Markov chain,Communication channel,Algorithm,Real-time computing,Interference (wave propagation),Maximum likelihood sequence estimation,Phase-shift keying
Conference
Citations 
PageRank 
References 
4
0.53
8
Authors
3
Name
Order
Citations
PageRank
Richard Perry140.87
K. Buckley211634.21
W. Andrew Berger340.53