Performance Evaluation of the Detection Algorithms for MIMO Spatial Multiplexing Based on Analytical Wireless MIMO Channel Models

This paper addresses the experimental numerical simulation of the detection algorithms for MIMO spatial multiplexing based on experimental analytical MIMO channel modeling. The suboptimal ZF and MMSE detection algorithms for MIMO spatial multiplexing are described. The effect of spatial correlation between MIMO channel coefficients results in channel capacity degradation and affects on bit error rate performance. The channel correlation matrices calculated from the measured channel coefficients are used as parameters for analytical MIMO channel models. Numerical simulation demonstrated that spatial correlation has a significant effect on BER performance of the ZF and MMSE detection algorithms. CDF of minimum and maximum eigenvalues of equivalent channel matrix are presented which have the close connection with the performance of the ZF and MMSE detection algorithms.