Channel tracking and equalization using Kalman estimation for MIMO systems in non-isotropic Ricean fading environment

The problem of channel tracking and equalization for multi-input multi-output (MIMO) time-varying non isotropic Ricean fading channels is investigated. A Kalman filter based on high order autoregressive (AR) model with statistics closely matching those of the directional Ricean fading process is proposed to track channels variations. A finite-length MIMO minimum-mean-squared-error decision-feedback equalizer (MMSE-DFE) is used to perform equalization task. The proposed algorithm works much better in tracking time varying inter-symbol interference (ISI) channels at the expense of high computational cost.