Iterative equalization for MIMO systems: Algorithm design and evolution analysis

In this paper, we study the equalization problem for linearly precoded multiple-input multiple-output (MIMO) systems. We develop novel iterative equalization algorithms based on message-passing principles. We establish an evolution technique to analyze the performance of the proposed iterative equalization algorithms. We show by numerical results that the simulated performance of the proposed linear precoding and iterative equalization scheme agrees well with the evolution analysis, and that the proposed scheme can significantly outperform the existing schemes. It is worth noting that the performance advantage of the proposed scheme is achieved without exploiting any knowledge of channel state information at the transmitter (CSIT).