Joint symbol detection and channel estimation for MIMO-OFDM systems via the variational Bayes EM algorithm

A new joint symbol detection and channel estimation algorithm was proposed for MIMO-OFDM systems over the time-varying fading channel based on the variational Bayes expectation maximization algorithm and Turbo principle. The channel estimation error covariance matrix was considered in the soft-input...

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Bibliographic Details
Published in:Tongxin Xuebao Vol. 31; no. 9; pp. 38 - 45
Main Authors: Zhang, Xiao-Ying, Wei, Ji-Bo, Wang, De-Gang, Xiong, Chun-Lin
Format: Journal Article
Language:Chinese
Published: Editorial Department of Journal on Communications 01.09.2010
Subjects:
Algorithms
Bayesian analysis
Channels
China
Error detection
Estimators
Maximization
MIMO-OFDM;variational Bayes expectation maximization algorithm;Kalman filter;Kullback-Leibler diver-gence
Orthogonal Frequency Division Multiplexing
Symbols
ISSN:1000-436X
Online Access:Get full text
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Summary:A new joint symbol detection and channel estimation algorithm was proposed for MIMO-OFDM systems over the time-varying fading channel based on the variational Bayes expectation maximization algorithm and Turbo principle. The channel estimation error covariance matrix was considered in the soft-input soft-output detector which circumvented the undesirable exhaustive search via list sphere decoder (LSD). In addition, a novel Kalman forward-backward channel estimator was derived based on the posterior distributions of the transmitted symbols which were obtained from the space-time detection. Simulation results show that the proposed algorithm has more robust performance than the conventional EM algorithm and decision-directed technique in the time varying multipath channel.
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ISSN:1000-436X