A novel adaptive equalization algorithm for MIMO communication system

In this paper, a novel adaptive interference cancellation decision feedback equalization algorithm based on Recursive Least Squares (RLS-IC-DFE) is proposed for Multi-input multi-output (MIMO) wireless communication systems under time-varying frequency selective environment. This algorithm changes the general adaptive equalizer for each data sub-stream to a new longer equalizer, and takes the sub-streams that have been detected as the new additional input, then uses RLS algorithm to update the coefficients of the new equalizer. Simulation results show that the new adaptive RLS-IC-DFE equalizer can adaptively track the variation of wireless channel and partially save the overhead of training sequence. At the same time, the proposed scheme can provide the better symbol error rate (SER) performance than the existed RLS-DFE algorithm.