EM-Based Estimation Framework for Various Channel Models in MIMO-OFDM Systems

MIMO-OFDM is a promising technique for broadband communications over mobile wireless channel. In this paper, we investigate the channel estimation problem for MIMO-OFDM systems. We proposed an EM-based framework to implement parameters estimation of channels described by various models. Since EM-based algorithm avoids the matrix inversion encountered in other channel estimation methods, it is of great advantage of computational complexity. We also demonstrate the performance of proposed framework for two types of channel models, Fourier-transform-based model and polynomial model, through computer simulation.