Channel Capacity Estimation of Communication Systems with Digital Antenna Arrays for Nonlinear Model of Low-Frequency Noises

The paper is devoted to modeling algorithms for estimating channel transmission coefficients in a communication system with digital antenna arrays taking into account mutual coupling, the complex of flicker, phase and thermal noises, and integrated signal processing. The primary signal processing in the path of each element of the antenna array is considered and the effect of noise from both individual elements of antenna systems and digital processing noise is evaluated. The influence of a complex of noises on the communication system's channel capacity is revealed by channel capacity estimation for parallel method of signal receiving. Methods for increasing the efficiency of digital signal processing, filtering and noise compensation in the communication system are proposed.

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Publication Details

Published
2025-03-26
DOI
https://doi.org/10.1109/dspa64310.2025.10977873
Primary Topic
Advanced Signal Processing Techniques
Type
article
Field-Weighted Citation Impact
0.00

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article

Channel Capacity Estimation of Communication Systems with Digital Antenna Arrays for Nonlinear Model of Low-Frequency Noises

Alexander Parshin, Maxim Grachev
Advanced Signal Processing Techniques
article

Channel Capacity Estimation of Communication Systems with Digital Antenna Arrays for Nonlinear Model of Low-Frequency Noises

Alexander Parshin, Maxim Grachev
article en

Abstract

The paper is devoted to modeling algorithms for estimating channel transmission coefficients in a communication system with digital antenna arrays taking into account mutual coupling, the complex of flicker, phase and thermal noises, and integrated signal processing. The primary signal processing in the path of each element of the antenna array is considered and the effect of noise from both individual elements of antenna systems and digital processing noise is evaluated. The influence of a complex of noises on the communication system's channel capacity is revealed by channel capacity estimation for parallel method of signal receiving. Methods for increasing the efficiency of digital signal processing, filtering and noise compensation in the communication system are proposed.

Russian Science Foundation
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Advanced Signal Processing Techniques
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