Optimal Channel Tracking for OFDM Systems in Double-selective Fading Channel
An algorithm which uses the Kalman filter to estimate the time-varying fading coefficients in orthogonal frequency division multiplexing (OFDM) systems is addressed. The algorithm is based on a parametric channel model where the channel response is characterized as a collection of sparse propagation paths. We investigate into how to estimate the channel by the Kalman filter in the pilot-aided OFDM wireless system. To reduce the complexity of the high-dimensional Kalman filter for channel estimatior, we consider a lowdimensional Kalman filter for the channel estimation. It is shown that the algorithm is effective for the estimation of the OFMD time-varying fading channels when the performance of the channel estimation is presented in terms of the mean-square error(MSE).
channel modeling Kalman filter channel estimation OFDM
Linhai Li Jing Chen Hanying Hu Hongyi Yu
Dept. of Commun. Engineering, Zhengzhou Information Science and Technology Institute Zhengzhou, Henan,P.R.China
国际会议
上海
英文
2007-09-21(万方平台首次上网日期,不代表论文的发表时间)