RESEARCH OF SIGNAL PROCESSING METHODS IN MIMO SYSTEMS

DOI 10.31673/2412-4338.2025.011729

Abstract

The article is devoted to the analysis and development of signal processing methods in communication systems using the technology of distributed transmitting and receiving antennas (Multiple Input Multiple Output, MIMO), which is the basis of modern wireless communication standards, such as 4G, 5G, Wi-Fi and satellite communication. Due to the possibility of simultaneous transmission and reception of several data streams, MIMO technologies significantly increase the bandwidth and reliability of communication. Space-Time Block Codes (STBC), which are used to ensure system resistance to interference and data loss under the influence of multipath and fast-changing channels, are considered in detail in the paper. The article also explores signal detection methods, including Zero Forcing (ZF) and Minimum Mean Square Error (MMSE) algorithms, which are popular tools for minimizing the impact of interference and improving reception quality. It is shown that each of the methods has its advantages and limitations depending on the channel conditions and signal characteristics. STBC coding is considered separately, which ensures high reliability of data transmission even in the presence of a significant level of noise and interference, which is especially important for mobile and high-speed communication systems. The main results of the work consist in the development of adaptive algorithms for signal processing, which ensure an increase in the productivity of communication systems. The use of adaptive approaches has been found to significantly reduce power consumption while providing high data rates and immunity to interference. The study showed that combining detection methods with spatio-temporal coding improves the efficiency of MIMO systems in complex environmental conditions. Prospects for further research are aimed at optimization and implementation of the latest signal processing algorithms, which will ensure high efficiency of MIMO systems in fast-changing channels and under conditions of limited energy resources.

Keywords: MIMO, spaced antennas, space-time block codes (STBC), signal processing, signal detection, Zero Forcing (ZF), Minimum Mean Square Error (MMSE), algorithms, wireless communication systems, data transmission reliability, interference, noise, adaptive algorithms, communication system performance, 4G, 5G, Wi-Fi, satellite communications, optimization.