• DocumentCode
    2304004
  • Title

    Robust pilot-symbol-aided MIMO channel estimation and prediction

  • Author

    Luo, Zhendong ; Gao, Hong ; Liu, Yuanan ; Gao, Jinchun

  • Author_Institution
    Wireless Res. Center, Beijing Univ. of Posts & Telecommun., China
  • Volume
    6
  • fYear
    2004
  • fDate
    29 Nov.-3 Dec. 2004
  • Firstpage
    3646
  • Abstract
    We investigate robust pilot-symbol-aided channel estimation and prediction for multiple-input multiple-output (MIMO) systems in fast fading environments. First, we derive the design criteria of the optimal pilot blocks for energy, power and bandwidth-limited systems, respectively. Then, in order to exploit channel time correlation sufficiently, we propose a robust minimum mean square error (MMSE) channel estimator. By simply adjusting some parameters, the MMSE estimator can work as an estimator and a predictor simultaneously. Finally, simulation results show the proposed MMSE estimator, with a little additional complexity, is considerably insensitive to channel statistics and significantly outperforms conventional estimators in fast fading environments.
  • Keywords
    MIMO systems; channel estimation; computational complexity; fading channels; least mean squares methods; prediction theory; MMSE estimator; bandwidth-limited systems; channel statistics; channel time correlation; complexity; energy-limited systems; fast fading environments; minimum mean square error estimator; multiple-input multiple-output systems; optimal pilot blocks; pilot-symbol-aided MIMO channel estimation; pilot-symbol-aided MIMO channel prediction; power-limited systems; Channel estimation; Fading; MIMO; Parameter estimation; Receiving antennas; Robustness; Statistics; Transmitters; Transmitting antennas; Wireless communication;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Global Telecommunications Conference, 2004. GLOBECOM '04. IEEE
  • Print_ISBN
    0-7803-8794-5
  • Type

    conf

  • DOI
    10.1109/GLOCOM.2004.1379049
  • Filename
    1379049