XIONG Chunlin, WANG Degang, WEI Jibo, “Low Complexity Semi-blind Bayesian IterativeReceiver for MIMO-OFDM Systems overTime-varying Multi-path Channels,” Chinese Journal of Electronics, vol. 19, no. 1, pp. 97-102, 2010,
Citation:
XIONG Chunlin, WANG Degang, WEI Jibo, “Low Complexity Semi-blind Bayesian IterativeReceiver for MIMO-OFDM Systems overTime-varying Multi-path Channels,” Chinese Journal of Electronics, vol. 19, no. 1, pp. 97-102, 2010,
XIONG Chunlin, WANG Degang, WEI Jibo, “Low Complexity Semi-blind Bayesian IterativeReceiver for MIMO-OFDM Systems overTime-varying Multi-path Channels,” Chinese Journal of Electronics, vol. 19, no. 1, pp. 97-102, 2010,
Citation:
XIONG Chunlin, WANG Degang, WEI Jibo, “Low Complexity Semi-blind Bayesian IterativeReceiver for MIMO-OFDM Systems overTime-varying Multi-path Channels,” Chinese Journal of Electronics, vol. 19, no. 1, pp. 97-102, 2010,
Based on the Variational Bayes expectation-maximization (VBEM) algorithm, a low com- plexity semi-blind Bayesian iterative receiver with joint signal detection and channel tracking is proposed for MIMO-OFDM systems over time-varying multi-path chan- nels. Since the VBEM algorithm provides the distribution estimation of all parameters, the proposed signal detec- tion algorithm is di®erent from the conventional ones in that the evaluation of extrinsic information is improved by considering channel estimation error in signal detection. In addition, with the aid of the soft information provided by the signal detector, the Recursive VBEM (RVBEM) algorithm is derived to track the time-varying channels. Due to the high complexity of the RVBEM algorithm, a Time-frequency combined low complexity recursive VBEM (TF-LCRVBEM) algorithm is further proposed to reduce complexity. The analysis results demonstrate that the TF-LCRVBEM algorithm totally avoids computation of matrix inversion and obtains linear complexity. Moreover, the simulation results show that the proposed receiver outperforms the conventional receiver, and su®er small performance loss at relatively high Signal-to-noise-ratios (SNRs), compared with the optimal receiver with perfect Channel state information (CSI).
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