XIONG Chunlin, WANG Degang, WEI Jibo. Low Complexity Semi-blind Bayesian IterativeReceiver for MIMO-OFDM Systems overTime-varying Multi-path Channels[J]. Chinese Journal of Electronics, 2010, 19(1): 97-102.
Citation: XIONG Chunlin, WANG Degang, WEI Jibo. Low Complexity Semi-blind Bayesian IterativeReceiver for MIMO-OFDM Systems overTime-varying Multi-path Channels[J]. Chinese Journal of Electronics, 2010, 19(1): 97-102.

Low Complexity Semi-blind Bayesian IterativeReceiver for MIMO-OFDM Systems overTime-varying Multi-path Channels

  • Received Date: 1900-01-01
  • Rev Recd Date: 1900-01-01
  • Publish Date: 2010-01-05
  • 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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