Joint MIMO channel tracking and symbol detection with em algorithm and soft decoding

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

*Corresponding author for this work

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

3 Scopus citations


An expectation maximization (EM) algorithm for joint channel tracking and symbol detection in a multi-input multi-output (MIMO) time-varying frequency-selective fading environment is proposed in this research. Based on the recursive EM procedure in conjunction with soft decoding, 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. Two soft decoders are examined; namely, the BCJR algorithm and the soft sphere decoder. The performance of the proposed algorithm is evaluated via simulation and compared with that of Kalman filtering with hard decision feedback. It is demonstrated by numerical simulation that the proposed algorithm has robust performance in the presence of a severe channel model mismatch.

Original languageEnglish
Title of host publicationGLOBECOM'05
Subtitle of host publicationIEEE Global Telecommunications Conference, 2005
Number of pages5
StatePublished - 1 Dec 2005
EventGLOBECOM'05: IEEE Global Telecommunications Conference, 2005 - St. Louis. MO, United States
Duration: 28 Nov 20052 Dec 2005

Publication series

NameGLOBECOM - IEEE Global Telecommunications Conference


ConferenceGLOBECOM'05: IEEE Global Telecommunications Conference, 2005
Country/TerritoryUnited States
CitySt. Louis. MO


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