UDC 621.396
NOISE IMMUNITY ANALYSIS OF MIMO SYSTEMS WITH CHANNEL MATRICES CORRELATION
Yu. N. Parshin, Dr. in technical sciences, full professor, Head of the Department, RSREU, Ryazan, Russia; orcid.org/0000-0003-0061-7804, e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.
V. D. Pham, post-graduate student, RSREU, Ryazan, Russia;
orcid.org/0009-0000-4984-6136, e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.
This paper presents the analysis for the impact of a correlated channel matrix and the number of inter ference sources on MIMO systems performance. The main aim of the study is to carry out computer simula tions of MIMO systems employing space–time coding and increased number of antennas under correlated interference conditions, as well as to identify methods for improving their performance. Bit error probability is evaluated using statistical simulation of the correlating channel matrix coefficients and the number of in terference sources. The application of spatial coding in multi-antenna systems is shown to improve interfer ence robustness and the efficiency of channel usage in the presence of concentrated interference. Simulation results confirm that spatial correlation arising from multipath signal propagation leads to significant degra dation of information transmission system performance. The obtained results indicate the necessity of taking these factors into account in MIMO systems design, especially under conditions of dense urban environments and limited spatial constraints.
Key words: channel matrix correlation, space-time matrix, bit error probability, MIMO, number of inter ference, scatterers, Rice factor.