EM algorithms for sequence estimation over random ISI channels.

This paper presents a new approach using EM (Expectation- Maximization) algorithms for ML (maximum likelihood) sequence estimation over unknown IS1 (inter-symbol interference) channels with random channel coefficients. By using the EM formulation to marginalize over the channel coefficient distribution, maximum-Iikeljhood estimates of the transmitted sequenceare obtained. The EM algorithms are shown to perform better, in terms of BER, than existing algorithms which perform jointly-optimal sequence and channel estimation.

Main Author: Perry, Richard.
Other Authors: Berger, W., Buckley, Kevin.
Format: Villanova Faculty Authorship
Language: English
Published: 1999
Online Access: http://ezproxy.villanova.edu/login?url=https://digital.library.villanova.edu/Item/vudl:178426