Joint symbol detection and channel estimation for MIMO-OFDM systems via the variational Bayes EM algorithm
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Joint symbol detection and channel estimation for MIMO-OFDM systems via the variational Bayes EM algorithm
Vol. 31, Issue 9, Pages: 38-45(2010)
作者机构:
国防科技大学电子科学与工程学院
作者简介:
基金信息:
DOI:
CLC:TN919.3
Published:2010
稿件说明:
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ZHANG Xiao-ying, WEI Ji-bo, WANG De-gang, et al. Joint symbol detection and channel estimation for MIMO-OFDM systems via the variational Bayes EM algorithm[J]. 2010, 31(9): 38-45.
DOI:
ZHANG Xiao-ying, WEI Ji-bo, WANG De-gang, et al. Joint symbol detection and channel estimation for MIMO-OFDM systems via the variational Bayes EM algorithm[J]. 2010, 31(9): 38-45.DOI:
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 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 conven-tional EM algorithm and decision-directed technique in the time varying multipath channel.