• DocumentCode
    1005256
  • Title

    Line search based iterative joint estimation of channels and frequency offsets for uplink OFDM systems

  • Author

    Na, Yanxin ; Minn, Hlaing

  • Author_Institution
    Navini Networks, Richardson
  • Volume
    6
  • Issue
    12
  • fYear
    2007
  • fDate
    12/1/2007 12:00:00 AM
  • Firstpage
    4374
  • Lastpage
    4382
  • Abstract
    This paper proposes a novel iterative joint estimation of channels and frequency offsets for uplink OFDMA systems. The proposed method is based on the iterative line search algorithm with a trust region. The objective function minimizes the mean-square distance between the received vector and the reconstructed received vector based on the estimated parameters. In each iteration, the parameters are updated based on the minimum mean square error criterion. We also present a stop criterion for the iterative algorithm. The simulation results show the fast convergence rate of the proposed algorithm with asymptotic performance approaching the average CRBs (averaged over the random frequency offsets and fading channels). Our proposed method achieves a much lower computational complexity and better bit error rate performance than the existing SAGE method.
  • Keywords
    channel estimation; frequency division multiple access; iterative methods; mean square error methods; SAGE method; computational complexity; convergence rate; frequency offset; iterative joint channel estimation; iterative line search algorithm; mean-square distance; minimum mean square error; objective function; received vector; trust region; uplink OFDMA systems; Computational complexity; Computational modeling; Convergence; Fading; Frequency estimation; Iterative algorithms; Iterative methods; Mean square error methods; OFDM; Parameter estimation;
  • fLanguage
    English
  • Journal_Title
    Wireless Communications, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1536-1276
  • Type

    jour

  • DOI
    10.1109/TWC.2007.060147
  • Filename
    4400806