• DocumentCode
    978262
  • Title

    Code-Aided Channel Tracking and Frequency Offset-Phase Noise Elimination for Multicarrier Systems

  • Author

    Marey, Mohamed ; Guenach, Mamoun ; Steendam, Heidi

  • Author_Institution
    Dept. of Telecommun. & Inf. Process., Ghent Univ., Ghent
  • Volume
    15
  • fYear
    2008
  • fDate
    6/30/1905 12:00:00 AM
  • Firstpage
    657
  • Lastpage
    660
  • Abstract
    In this contribution, we propose a novel code-aided channel tracking and carrier frequency offset (CFO) and/or phase noise (PN) estimation algorithm for orthogonal frequency-division multiplexing (OFDM) systems. Starting from the maximum-likelihood (ML) principle, we derive a low complexity estimator based on the expectation-maximization (EM) algorithm. It turns out that the estimator receives soft information from the channel decoder to refine the CFO, PN, and channel estimates. Simulation results revealed that the proposed algorithm outperforms the conventional techniques in terms of bit-error rate (BER).
  • Keywords
    OFDM modulation; channel coding; channel estimation; computational complexity; error statistics; expectation-maximisation algorithm; interference suppression; phase noise; OFDM systems; bit error rate; carrier frequency offset-phase noise elimination; channel decoder; channel estimates; code-aided channel tracking; low complexity estimator; maximum-likelihood principle; multicarrier systems; orthogonal frequency division multiplexing systems; soft information; Bit error rate; Channel estimation; Error correction codes; Frequency division multiplexing; Frequency estimation; Iterative algorithms; Maximum likelihood estimation; OFDM; Phase noise; Signal processing algorithms; Carrier frequency offset; channel tracking; coding; expectation-maximization (EM) algorithm; orthogonal frequency-division multiplexing (OFDM); phase noise;
  • fLanguage
    English
  • Journal_Title
    Signal Processing Letters, IEEE
  • Publisher
    ieee
  • ISSN
    1070-9908
  • Type

    jour

  • DOI
    10.1109/LSP.2008.2004517
  • Filename
    4666762