Robust joint CFO and fast time-varying channel tracking for MIMO-OFDM systems

In this paper, a robust joint carrier frequency offset (CFO) and fast time-varying channel tracking algorithm for MIMO-OFDM systems is proposed. The proposed method is robust to noise statistics and noise distribution uncertainties. The extended H_∞ filter (EHF) is employed for the joint tracking process as it does not require any knowledge of noise statistics or noise distribution, unlike the conventional extended Kalman filter (EKF). To reduce computational complexity, the tracking of fast time-varying channel gains is facilitated by the basis expansion model (BEM). Simulation results show that the performance of the proposed algorithm without knowledge of noise statistics matches the performance of the existing algorithm under Gaussian noise and is better than that of the existing algorithm under non-Gaussian noise.