2021/12/01 by М. Г. Бакулин, M. G. Bakulin, В. Б. Крейнделин +4
Engineering · Mathematics · #A priori and a posteriori #Advanced MIMO Systems Optimization #Advanced Signal Processing Techniques #Algorithm #Applied mathematics #Computer science #Demodulation #Gaussian #MIMO #Mathematical optimization #Mathematics #Monte Carlo method #Nonlinear system #PAPR reduction in OFDM #Statistics #Telecommunications
paper · doi:10.1134/s1064226921120044
openalex publication_date 2021/12/01 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/31
In this study, we present the results of theoretical analysis and computer simulation of the application of non-Gaussian approximation in demodulation problems in MIMO systems. The results of this study can also be applied in multiuser demodulation problems in systems with non-orthogonal signals. As a result of theoretical analysis, an approximation of a priori distribution of the estimated parameters, as well as a theoretical justification for the application of methods for solving systems of linear and nonlinear equations in solving the problem of demodulation in multi-user systems, were proposed. The results of modeling by the Monte Carlo method, as well as comparison with known demodulation algorithms for MIMO systems, which confirm the effectiveness of the proposed theoretical approach of non-Gaussian approximation for additional consideration of a priori information during demodulation, are presented.