Robust joint channel estimation and symbol detection over MIMO channels using em algorithm

Fu Hsuan Chiu*, Sau-Hsuan Wu, C. C.J. Kuo

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations


An expectation maximization (EM) algorithm for joint channel tracking and symbol detection at the receiver in a multi-input multi-output (MIMO) frequency-selective fading environment is proposed in this research. Based on the recursive EM procedure in conjunction with the BCJR algorithm, we develop an iterative algorithm that performs the minimum mean squared error (MMSE) channel estimation and the maximum a posterior (MAP) probability symbol detection jointly. The performance of the proposed algorithm is evaluated via simulation and compared with that of Kalman filtering with hard decision feedback. It is also demonstrated that the new algorithm has robust performance in the presence of a severe channel model mismatch.

Original languageEnglish
Title of host publicationVTC 2005-Fall
Subtitle of host publicationMid Way Through the Decade - Technology Past, Present and Future
PublisherInstitute of Electrical and Electronics Engineers Inc.
Number of pages5
ISBN (Electronic)0780391527
StatePublished - 1 Jan 2005
Event62nd Vehicular Technology Conference, VTC 2005 - Dallas, United States
Duration: 25 Sep 200528 Sep 2005

Publication series

NameIEEE Vehicular Technology Conference
ISSN (Print)1550-2252


Conference62nd Vehicular Technology Conference, VTC 2005
Country/TerritoryUnited States


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