ChinaCom2008-Signal Processing for Communications Symposium

Research Article

Channel Estimation in Fast Fading Channels

  • @INPROCEEDINGS{10.1109/CHINACOM.2008.4685109,
        author={Ping Wan and Michael McGuire},
        title={Channel Estimation in Fast Fading Channels},
        proceedings={ChinaCom2008-Signal Processing for Communications Symposium},
  • Ping Wan
    Michael McGuire
    Year: 2008
    Channel Estimation in Fast Fading Channels
    DOI: 10.1109/CHINACOM.2008.4685109
Ping Wan1,*, Michael McGuire1,*
  • 1: Department of Electrical and Computer Engineering,University of Victoria Victoria, B.C., Canada,
*Contact email:,


Accurate radio channel estimation is necessary for efficient wireless communications. This paper proposes a novel Kalman filter algorithm using basis expansion models (BEMs) of the channel gains to accurately estimate fast fading channels. The channel state for finite duration blocks is summarized in terms of BEM coefficients. The dependency between channel blocks is described with a second-order autoregressive model for the time evolution of the BEM coefficients. A Kalman smoother, based on the dynamic model, is used to combine information from measurements made in different blocks. The mean square error (MSE) of the Kalman smoother is near that of the optimalWiener filter. The computational cost of this new algorithm is on the same order as existing channel estimation algorithms. This paper is robust to variations of the radio channel parameters from the design values