Abstract
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.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
