A Novel Approach for MIMO Adaptive Equalization Based on Affine Projection Algorithm

Abstract

In this paper, a reduced complexity adaptive decision feedback equalization approach based on affine projection algorithm (APA) is proposed for multiple-input multiple-output (MIMO) time-varying frequency selective channels. Computational complexities of APA-based adaptive decision feedback equalization (AP-DFE), least mean-squares (LMS-DFE) and recursive least squares (RLS-DFE) algorithms are compared. The proposed technique provides fast convergence speed and low computational complexity. Simulation results show that AP-DFE adaptive equalization algorithm outperforms LMS-DFE algorithm and can obtain significant computation saving over RLS-DFE algorithm with approximately the same BER performance.