MIMO Channel Estimator with Consideration of Time Domain Correlation in Flat Fading

Channel estimation approaches with training data for multiple-input multiple-output (MIMO) systems in flat fading wireless environment are investigated in this paper. These techniques exploit the correlation of MIMO channel in the time domain when the channel varies very slowly or varies fast with prominent Doppler shift, and obtain channel estimation algorithms by superimposing designed filters to improve those classical estimations' performance. In order to analyze and simulate the performance of these algorithms, investigation on the formulation of those classical estimation errors is also given. Simulation results illustrate that the performance difference between the proposed approaches and the classical ML (or LS, equivalently) estimation, which does not consider the correlation in the time domain