• DocumentCode
    2339567
  • Title

    WLC43-2: Line Search Based Iterative Joint Estimation of Channels and Frequency Offsets for Uplink OFDMA Systems

  • Author

    Na, Yanxin ; Minn, Hlaing

  • fYear
    2006
  • fDate
    Nov. 27 2006-Dec. 1 2006
  • Firstpage
    1
  • Lastpage
    5
  • 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 is minimizing the mean-square distance between the received vector and the reconstructed received vector based on the estimated parameters. In each iteration, updating the parameters is based on the minimum mean square error criterion. We also present a stop criterion for the iterative algorithm. We derive the Cramer-Rao lower bounds (CRBs) of the considered multi-user joint parameter estimation. The simulation results show that our proposed algorithm converges fast and the estimation performance gradually approaches to the average CRBs (averaged over the random frequency offsets and fading channels). Our proposed method achieves a much lower computation complexity and better bit error rate performance than the existing SAGE method.
  • Keywords
    OFDM modulation; channel capacity; channel estimation; computational complexity; error statistics; frequency division multiple access; frequency estimation; iterative methods; least mean squares methods; multiuser channels; Cramer-Rao lower bounds; bit error rate performance; channels estimation; computation complexity; frequency offsets; iterative line search algorithm; joint parameter estimation; minimum mean square error criterion; uplink OFDMA systems; Bit error rate; Computational modeling; Electronic mail; Frequency estimation; Interference; Iterative algorithms; Iterative methods; Mean square error methods; OFDM; Parameter estimation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Global Telecommunications Conference, 2006. GLOBECOM '06. IEEE
  • Conference_Location
    San Francisco, CA
  • ISSN
    1930-529X
  • Print_ISBN
    1-4244-0356-1
  • Electronic_ISBN
    1930-529X
  • Type

    conf

  • DOI
    10.1109/GLOCOM.2006.866
  • Filename
    4151496