• DocumentCode
    455783
  • Title

    Semi-blind Channel Estimation for OFDM Systems

  • Author

    Yang, Weiwei ; Yueming Cai ; Xun, Youyun

  • Author_Institution
    Inst. of Commun. Eng., PLAUST
  • Volume
    1
  • fYear
    2006
  • fDate
    7-10 May 2006
  • Firstpage
    226
  • Lastpage
    230
  • Abstract
    In this paper, we propose a semi-blind channel estimation method based on first-order statistics of OFDM systems. The transmitter superimposes periodic pilot sequences on information sequences, where there is no loss in information rate but a controllable increase in transmission power. Employing the first-order statistics, it enables a closed-form channel estimation method to estimate the frequency-selective fading channel. Then, a mean square error (MSE) bound is derived to evaluate the proposed channel estimator. Computer simulations have been provided to compare the MSE performances of the proposed method with the LS estimation method based PSAM and the subspace method
  • Keywords
    OFDM modulation; channel estimation; fading channels; least squares approximations; mean square error methods; statistics; LS estimation method; MSE bound; OFDM systems; first-order statistics; frequency-selective fading channel; information sequences; least square estimation; mean square error bound; orthogonal frequency division multiplexing; periodic pilot sequences; semi-blind channel estimation; subspace method; Channel estimation; Computer simulation; Frequency estimation; Frequency-selective fading channels; Information rates; Mean square error methods; OFDM; Propagation losses; Statistics; Transmitters; OFDM; first-order statistics; semi-blind channel estimation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Vehicular Technology Conference, 2006. VTC 2006-Spring. IEEE 63rd
  • Conference_Location
    Melbourne, Vic.
  • ISSN
    1550-2252
  • Print_ISBN
    0-7803-9391-0
  • Electronic_ISBN
    1550-2252
  • Type

    conf

  • DOI
    10.1109/VETECS.2006.1682809
  • Filename
    1682809