• DocumentCode
    1002126
  • Title

    A Computationally Efficient Joint Channel Estimation and Data Detection for SIMO Systems

  • Author

    Pham, The-Hanh ; Nallanathan, A. ; Liang, Ying-Chang

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Nat. Univ. of Singapore, Singapore
  • Volume
    7
  • Issue
    11
  • fYear
    2008
  • fDate
    11/1/2008 12:00:00 AM
  • Firstpage
    4041
  • Lastpage
    4046
  • Abstract
    In this letter, we consider the problem of joint channel estimation and data detection for single-input multi-output (SIMO) systems under fast-fading environment with unknown spatially correlated noise. We present a computationally efficient iterative receiver based on the expectation conditional maximization (ECM) algorithm. Bit error rate (BER) performance of the proposed iterative receiver is simulated and compared with that of the maximum likelihood (ML) receiver with perfect channel state information (CSI). Simulation results show that the proposed iterative receiver achieves nearly the performance of ML receiver with perfect CSI and requires only a few iterations.
  • Keywords
    channel estimation; error statistics; expectation-maximisation algorithm; fading; BER performance; SIMO systems; bit error rate performance; channel state information; data detection; expectation conditional maximization algorithm; fast-fading environment; iterative receiver; joint channel estimation; maximum likelihood receiver; single-input multi-output systems; spatial correlated noise; Algorithm design and analysis; Bit error rate; Channel estimation; Computational modeling; Covariance matrix; Electrochemical machining; Fading; Iterative algorithms; Maximum likelihood detection; Maximum likelihood estimation; Channel estimation; Expectation Conditional Maximization (ECM) algorithm; Expectation Maximization (EM) algorithm; data detection; single input multiple output (SIMO) system;
  • fLanguage
    English
  • Journal_Title
    Wireless Communications, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1536-1276
  • Type

    jour

  • DOI
    10.1109/T-WC.2008.060934
  • Filename
    4684574