Low complexity variational bayes iterative receiver for MIMO-OFDM systems

Authors:
Chun-lin Xiong;Hua Wang;Xiao-ying Zhang;Ji-Bo Wei;Chao-jing Tang
Affiliations:
School of Electronic Science and Engineering, National University of Defense Technology, Changsha, China;Department of Communications, Optics & Materials, Technical University of Denmark, Lyngby, Denmark;School of Electronic Science and Engineering, National University of Defense Technology, Changsha, China;School of Electronic Science and Engineering, National University of Defense Technology, Changsha, China;School of Electronic Science and Engineering, National University of Defense Technology, Changsha, China
Venue:
ICC'09 Proceedings of the 2009 IEEE international conference on Communications
Year:
2009

Citing 8
Cited 0

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Abstract

A low complexity iterative receiver is proposed in this paper for MIMO-OFDM systems in time-varying multi-path channel based on the Variational Bayes (VB) method. According to the VB method, the estimation algorithms of the signal distribution and the channel distribution are derived for the receiver.With the aid of the soft-output QRD-M algorithm, whose complexity is fixed and relatively low, the signal distribution can be obtained conveniently. In particular, a sequential channel estimation algorithm, which completely avoids the computation of matrix inversion and multiplication, is introduced for the channel distribution estimation. Moreover, the distribution estimations of the signals and the channels are performed in a cyclical iteration way. The simulation results show that the performance loss of the proposed receiver is only 1dB for fast varying channels and less than 0.5dB for slow varying channels at the bit error rate of 10-4after 3 iterations, compared with the optimum receiver with perfect channel state information.