Parallel interference cancellation MIMO decision feedback equalization based on recursive least square algorithm

We present a new receiver structure able to deliver high data rates in a multi-input-multi-output (MIMO) frequency selective wireless environment. The parallel interference cancellation MIMO decision feedback equalization based on recursive least square algorithm (RLS-PIC-DFE) is obtained by canceling decided symbols from the received symbols parallel with the decision feed-forward equalizer (DFE) solution as a well known expression encountered in fast recursive least squares (RLS) adaptive algorithms, and the decision feedback equalizer as a convolution of the decision feed-forward equalizer with the channel. The RLS-PIC-DFE algorithm avoids the interference of the decided symbols and improves the detection performance. Under the environment of multiple scattering wireless communication, the simulation experiment results show that compared to the traditional decision feedback equalization based on recursive least square algorithm (RLS-DFE), the detection performance of proposed algorithm is improved dramatically.