• DocumentCode
    1783847
  • Title

    A MIMO-OFDM channel estimation algorithm for high-speed movement environments

  • Author

    Natori, Takahiro ; Fanabe, Nari ; Furukawa, Toshihiro

  • Author_Institution
    Tokyo Univ. of Sci., Tokyo, Japan
  • fYear
    2014
  • fDate
    21-23 May 2014
  • Firstpage
    348
  • Lastpage
    351
  • Abstract
    This paper presents the channel gain estimation algorithm for the MIMO-OFDM system under the high-speed movement environments. This method aims to achieve robust the MIMO-OFDM channel gain estimation using only the Kalman filter from the canonical state space models with: (a) a state equation composed of the channel gain and the colored driving source, and (b) an observation equation composed of the pilot symbol, the channel gain and the AWGN. The remarkable features of this method are that (i) the channel gain estimation accuracy does not depend on the mobile speed, the number of channel path and the number of transmitting antenna, and that (ii) the proposed method can estimate the channel gain with reduced computational complexity of the traditional. Therefore, this method is the practical MIMO-OFDM channel gain estimation method.
  • Keywords
    AWGN channels; Kalman filters; MIMO communication; OFDM modulation; channel estimation; transmitting antennas; AWGN; Kalman filter; MIMO-OFDM channel gain estimation algorithm; canonical state space model; channel gain estimation algorithm; computational complexity reduction; high-speed movement environment; pilot symbol; state equation; transmitting antenna; Channel estimation; Estimation; Kalman filters; Mathematical model; Mobile communication; OFDM; Vectors; AR System; Channel Estimation; Colored Driving Source; Kalman Filter; MIMO-OFDM System;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communications, Control and Signal Processing (ISCCSP), 2014 6th International Symposium on
  • Conference_Location
    Athens
  • Type

    conf

  • DOI
    10.1109/ISCCSP.2014.6877885
  • Filename
    6877885