EM algorithm for sequence estimation over Gauss-Markov ISI channels.

This paper presents a new algorithm, based on an EM (Expectation-Maximization) formulation, for ML (maximum likelihood) sequence estimation over unknown IS1 (inter-symbol interference) channels with random channel coefficients which have a Gauss-Markov fast time-varying distribution. By using the EM formulation to marginalize over the channel coefficient distribution, maximum-likelihood estimates of the transmitted sequence are obtained. This EM algorithm is shown to perform bet.- ter, in terms of BER, than existing algorithms which perform jointly-optimal sequence and channel estimation, or which do not take into account fast time-varying channel effects.

Main Author: Perry, Richard.
Other Authors: Berger, W., Buckley, Kevin.
Format: Villanova Faculty Authorship
Language: English
Published: 2000
Online Access: http://ezproxy.villanova.edu/login?url=https://digital.library.villanova.edu/Item/vudl:178423