MIMO time-varying channel tracking using annealed particle filtering

A new algorithm is proposed using a sequential Monte Carlo method; it is robust even in nonlinear and non-Gaussian environments. In conjunction with current detection algorithms for tracking the channel matrix, the new algorithm improves the performance of the MIMO system under time-varying non-Gaussian channels due to Doppler shifts and carrier frequency offsets. Simulation results show that the proposed scheme exhibits robustness to time-selectivity with a few training symbols.