A semi-blind algorithm to perform channel identification for multiple input multiple output （MIMO） systems in frequency and time-selective fading environments is proposed. It contains two steps：training and tracking.In training phase, improved Kalman filtering,namely robust Kalman filtering （RKF）, is exploited to identify channel impulse response（CIR）. After that,in tracking stage,the RKF and minimum mean-square error feedback decision equalizer （MMSE-DFE） cooperate to track the time-varying channel.The RKF recursions is presented and ...
