Title :
Joint MIMO channel tracking and symbol detection with EM algorithm and soft decoding
Author :
Chiu, Fu-Hsuan ; Wu, Sau-Hsuan ; Kuo, C. C Jay
Author_Institution :
Southern California Univ., Los Angeles, CA
Abstract :
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
Keywords :
MIMO systems; channel coding; channel estimation; expectation-maximisation algorithm; fading channels; iterative decoding; least mean squares methods; maximum likelihood detection; Kalman filtering; MMSE channel estimation; channel model mismatch; decision feedback; expectation maximization algorithm; iterative algorithm; joint MIMO channel tracking; maximum a posterior probability; minimum mean squared error; multiinput multioutput; numerical simulation; soft sphere decoder; symbol detection; time-varying frequency-selective fading environment; Channel estimation; Fading; Feedback; Filtering algorithms; Frequency; Iterative algorithms; Iterative decoding; Kalman filters; MIMO; Numerical simulation;
Conference_Titel :
Global Telecommunications Conference, 2005. GLOBECOM '05. IEEE
Conference_Location :
St. Louis, MO
Print_ISBN :
0-7803-9414-3
DOI :
10.1109/GLOCOM.2005.1578094
