Joint carrier frequency offset and channel parameters estimation for MIMO-OFDM systems

Joint channel and frequency offset tracking based on an autoregressive (AR) model are often performed by either assuming the knowledge of the state transition matrix and state noise or obtaining the state transition matrix and state noise via the Yule Walker equations. In this paper, we propose a joint carrier frequency offset (CFO) and channel parameters tracking algorithm for MIMO-OFDM system which is capable of tracking the channel parameters without requirements of additional information such as maximum Doppler frequency and maximum delay spread. The Extended Kalman Filter is proposed for the joint tracking process. Simulation results show that the performance of the proposed method is close to the case when channel parameters are known.