Adaptive Equalization of MIMO Frequency Selective Channels

This article researches the combination of fractionally spaced equalizer (FSE) and decision feedback equalizer(DFE) applied in MIMO frequency selective channels. This kind of equalizer has low sensitivity to the receiver's sampling phase, and it can eliminate the ISI without adding noise gain. This paper analyses and compares the FSE-DFE applying two adaptive algorithms:least mean squares (LMS) algorithm and constant modulus algorithm (CMA). Through the simulation results, their respective advantages and disadvantages are presented. Based on these algorithms, a new hybrid algorithm possessing the advantages of LMS and CMA is proposed. This algorithm requires only a few training sequences and performs better than CMA.