An Adaptive Channel Tracking Algorithm Combined LMS and KALMAN Filter

Abstract

Adaptive channel tracking algorithms are studied based on LMS and KALMAN in MIMO-OFDM system. A novel adaptive channel tracking algorithm, which combines the LMS and KALMAN filter to make use of the stabilization of LMS and the accuracy of KALMAN filter, is proposed. On the one side, the algorithm can track and estimate the channel with the optimal MSE, and on the other hand, the algorithm conquers the problem that the KALMAN filter need the transforming between learning pattern and tracking pattern frequently. For the number of training sequence is depressed, so the performance of the communication system is improved.