A Novel Method of Channel Estimation in Broadband MIMO-OFDM Systems

Abstract

Channel estimation is critical in designing broadband multiple input multiple output (MIMO) orthogonal frequency division multiplexing (OFDM) systems, a parametric channel estimation method based on least square (LS) criteria is proposed in this paper, and the MSE performance using optimal training pilots is also given here, which proves this estimation method can improve the estimation precision greatly in sparse channel. Since such method needs the multi-path time delays information of the channel, the probabilistic data association (PDA) method was employed to estimate the multi-path time delays. Simulation results show that both the bit error rate (BER) and the mean square error (MSE) performance of the proposed method are better than the traditional LS channel estimation method.