• DocumentCode
    62842
  • Title

    On Symbol-Wise Variational Bayesian CSI Estimation and Detection for Distributed Antenna Systems Subjected to Multiple Unknown Jammers

  • Author

    Ke Zhong ; Shaoqian Li

  • Author_Institution
    Nat. Key Lab. of Sci. & Technol. on Commun., Univ. of Electron. Sci. & Technol. of China, Chengdu, China
  • Volume
    21
  • Issue
    7
  • fYear
    2014
  • fDate
    Jul-14
  • Firstpage
    782
  • Lastpage
    786
  • Abstract
    This letter develops a novel iterative joint channel state information estimation (CSIE), jammer estimation (JE) and data detection (DD) algorithm for orthogonal frequency division multiplexing (OFDM)-based distributed antenna systems in the presence of multiple unknown jammers. In contrast to existing methods that only heuristically combine CSIE, JE and DD, the proposed algorithm rigorously casts the three problems under a unified variational Bayesian inference framework. Simulation results demonstrate that the proposed algorithm converges rapidly, and after convergence, the bit-error-rate performance of the proposed algorithm is very close to that of the ideal case which supposes perfect knowledge of CSI and jammer. In addition, it is shown that the proposed algorithm significantly outperforms other state-of-the-art methods.
  • Keywords
    OFDM modulation; antenna arrays; channel estimation; error statistics; iterative methods; jamming; CSIE algorithm; DD algorithm; JE algorithm; OFDM-based distributed antenna systems; bit-error-rate performance; data detection algorithm; distributed antenna system detection; iterative joint channel state information estimation algorithm; jammer estimation algorithm; orthogonal frequency division multiplexing; symbol-wise variational Bayesian CSI estimation; unified variational Bayesian inference framework; Approximation methods; Bayes methods; Inference algorithms; Jamming; Joints; Signal processing algorithms; Vectors; Bayesian estimation and detection; distributed antenna systems; unknown jammers; worst case;
  • fLanguage
    English
  • Journal_Title
    Signal Processing Letters, IEEE
  • Publisher
    ieee
  • ISSN
    1070-9908
  • Type

    jour

  • DOI
    10.1109/LSP.2014.2315529
  • Filename
    6782751