• DocumentCode
    2572261
  • Title

    Iterative Channel Estimation based on Linear Regression for a MIMO-OFDM system

  • Author

    Le Saux, Benoît ; Helard, Maryline

  • Author_Institution
    France Telecom R&D, Cesson-Sevigne
  • fYear
    2006
  • fDate
    19-21 June 2006
  • Firstpage
    356
  • Lastpage
    361
  • Abstract
    Multiple-input multiple-output (MIMO) systems combined with orthogonal frequency-division multiplexing (OFDM) receive a great deal of attention due to its great potential in achieving high data rates in wireless communications. Nevertheless for coherent detection systems, performance of these MIMO-OFDM systems can severely degrade due to inaccurate channel estimation especially over frequency-selective fast-varying channels. In this paper, we address a MIMO-OFDM coherent transmission with a pilot aided turbo channel estimation improved by addition of a linear regression algorithm in the iterative process. The efficiency of the proposed channel estimation is demonstrated over fast time varying channels thanks to comparison with other turbo-channel estimation systems
  • Keywords
    MIMO systems; OFDM modulation; channel estimation; iterative methods; radiocommunication; regression analysis; time-varying channels; wireless channels; MIMO-OFDM system; coherent detection system; fast time varying channel; iterative channel estimation; linear regression algorithm; multiple-input multiple-output system; orthogonal frequency-division multiplexing; pilot aided turbo channel estimation; wireless communication; Channel estimation; Degradation; Frequency division multiplexing; Frequency estimation; Iterative algorithms; Linear regression; MIMO; OFDM; Time varying systems; Wireless communication;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Wireless and Mobile Computing, Networking and Communications, 2006. (WiMob'2006). IEEE International Conference on
  • Conference_Location
    Montreal, Que.
  • Print_ISBN
    1-4244-0494-0
  • Type

    conf

  • DOI
    10.1109/WIMOB.2006.1696362
  • Filename
    1696362