Low complexity variational bayes iterative reviver for MIMO-OFDM systems

Chunlin Xiong, Hua Wang, Xiaoying Zhang, Jibo Wei, Chaojing Tang

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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 ldB for fast varying channels and less than 0.5 dB for slow varying channels at the bit error rate of 10-4 after 3 iterations, compared with the optimum receiver with perfect channel state information.
Original languageEnglish
Title of host publicationIEEE International Conference on Communications, 2009. ICC '09.
PublisherIEEE
Publication date2009
Pages1-5
ISBN (Print)978-1-4244-3435-0
DOIs
Publication statusPublished - 2009
Event2009 IEEE International Conference on Communications - Dresden, Germany
Duration: 14 Jun 200918 Jun 2009
http://www.ieee-icc.org/2009/

Conference

Conference2009 IEEE International Conference on Communications
CountryGermany
CityDresden
Period14/06/200918/06/2009
Internet address

Bibliographical note

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Cite this

Xiong, C., Wang, H., Zhang, X., Wei, J., & Tang, C. (2009). Low complexity variational bayes iterative reviver for MIMO-OFDM systems. In IEEE International Conference on Communications, 2009. ICC '09. (pp. 1-5). IEEE. https://doi.org/10.1109/ICC.2009.5199155