Nonlinear Decoding Method and Simulation for MIMO Communication Systems
He Zishu · Jisuanji fangzhen · 2009
A nonlinear decoding method was proposed for MIMO communication systems, and dimension of the matrix and computation complexity were reduced significantly by selecting discriminate space based on Fisher ratio for signal separation. Performance improvement was obtained by utilizing high-order statistic characteristic of the received signals. Compared with the conventional linear detection algorithms, MMSE and OSIC, simulation results show that the nonlinear algorithm reduces largely bit error rate even though the responses of receiver antennas are not identical to each other.