IEEE Transactions on Communication, ( ISI ), Volume (47), No (8), Year (1999-8) , Pages (1183-1193)

Title : ( Adaptive MLSDE using the EM algorithm )

Authors: Hossein Zamiri Jafarian , S. Pasupathy ,

Citation: BibTeX | EndNote

Abstract—The theory of adaptive sequence detection incorpo- rating estimation of channel and related parameters is studied in the context of maximum-likelihood (ML) principles in a general framework based on the expectation and maximization (EM) algorithm. A generalized ML sequence detection and estimation (GMLSDE) criterion is derived based on the EM approach, and it is shown how the per-survivor processing and per-branch processing methods emerge naturally from GMLSDE. GMLSDE is developed into a real time detection/estimation algorithm using the online EM algorithm with coupling between estimation and detection. By utilizing Titterington’s stochastic ap- proximation approach, different adaptive ML sequence detection and estimation (MLSDE) algorithms are formulated in a unified manner for different channel models and for different amounts of channel knowledge available at the receiver. Computer simu- lation results are presented for differentially encoded quadrature phase-shift keying in frequency flat and selective fading channels, and comparisons are made among the performances of the various adaptive MLSDE algorithms derived earlier.

Keywords

, Adaptive detection and estimation, estimation theory, expectation and maximization algorithm, fading channels, maximum-likelihood detection, maximum-likelihood estimation, sequence detection theory, statistical communication
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@article{paperid:1012762,
author = {Zamiri Jafarian, Hossein and S. Pasupathy},
title = {Adaptive MLSDE using the EM algorithm},
journal = {IEEE Transactions on Communication},
year = {1999},
volume = {47},
number = {8},
month = {August},
issn = {0090-6778},
pages = {1183--1193},
numpages = {10},
keywords = {Adaptive detection and estimation; estimation theory; expectation and maximization algorithm; fading channels; maximum-likelihood detection; maximum-likelihood estimation; sequence detection theory; statistical communication theory},
}

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%0 Journal Article
%T Adaptive MLSDE using the EM algorithm
%A Zamiri Jafarian, Hossein
%A S. Pasupathy
%J IEEE Transactions on Communication
%@ 0090-6778
%D 1999

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