A New Channel Tracking Algorithm Based on Kalman Filter

Abstract

The estimation of a time-varying multipath fading channel is a difficult task for the receiver. Its performance can be improved if an appropriate channel estimation filter is used according to the prior knowledge of the fading channel. We propose an algorithm which uses the Kalman filter based on Clarke's model to track the time-varying multipath fading channel. To reduce the complexity of the high-dimensional Kalman filter for channel estimation of the paths, we use a low-dimensional Kalman filter for the estimation of each path. We investigate how to estimate the channel by the Kalman filter in the pilot-aided wireless system. Simulations show this algorithm is effective for the estimation of the fading channel when the performance of the channel estimation is presented in terms of the mean-square error (MSE)