OPTIMIZATION OF SIGNAL RECEPTION METHODS TO IMPROVE THE NOISE IMMUNITY OF BROADBAND COMMUNICATION SYSTEMS

DOI: 10.31673/2412-4338.2024.017987

Authors

  • К. О. Треньова, (Trenyova K. O.) State University of Information and Communication Technologies, Kyiv

Abstract

In modern conditions, broadband communication systems are gaining special relevance. Due to their ability to provide high bandwidth and reliability, broadband systems are widely used in various fields, including mobile communications, satellite communications, and wireless networks. Broadband signals are subject to interference, which can significantly degrade the quality of data transmission. The noise immunity of a system, which characterizes its ability to maintain the efficiency of signal transmission despite the presence of interference, is becoming a key indicator of its reliability.
The article investigates the impact of additive interference, which includes fluctuating, spectrum-centered, and time-centered interference, and which is a realistic expression of environmental effects. The main purpose of the article is to compare the effectiveness of different methods of signal reception under the influence of these interferences in order to determine the optimal strategies for improving the noise immunity of broadband communication systems.
The article analyzes the comparison of incoherent reception with incoherent accumulation (for binary systems) and methods of receiving signals with phase-difference modulation. The described mathematical models use a probabilistic approach to derive functions that allow obtaining expressions for estimating the probability of error in signal transmission.
Considerable attention is paid to the implementation of mathematical algorithms for calculating the noise immunity indicators. The calculations of error probabilities under the conditions of various types of interference are presented, and the speed of convergence of the selected characteristics to the normal distribution law is estimated.

Keywords: broadband communication systems, interference immunity, additive interference, error probability, signal-to-noise ratio, reliability, phase-difference modulation, incoherent reception.

References
1. Berkman L. Intelligent system of management of information communication networks / Berkman L., Barabash O., Tkachenko O., Laptiyev O., Salanda I. // International journal of new trends in engineering research, 2020. - No. 8 (5). - P. 1920-1925.
2. Goldsmith, "Wireless Communications", Cambridge University Press, 2017.
3. T. S. Rappaport et al., “Millimeter Wave Wireless Communications”, Pearson Education, 2017.
4. M. K. Simon, "Probability Distributions Involving Gaussian Random Variables: A Handbook for Engineers, Scientists, and Mathematicians", Springer, 2018.
5. Q. Zhu, G. Li, "Statistical Signal Processing for Wireless Communication and Positioning", CRC Press, 2019.
6. B. Sklar, "Digital Communications: Fundamentals and Applications", Prentice Hall, 2020.
7. Zhurakovskyi B., Toliupa S., Druzhynin V., Bondarchuk A., Stepanov M. Calculation of Quality Indicators of the Future Multiservice Network/ Lecture Notes in Electrical Engineering This link is disabled., 2022, 831, p. 197–209
8. Anakhov P., Zhebka V., Bondarchuk A., Storchak K., Sablina M. Increasing the Reliability of a Heterogeneous Network using Redundant Means and Determining the Statistical Channel Availability Factor / CEUR Workshop Proceedings This link is disabled., 2023, 3421, p. 231–236
9. Anakhov P., Zhebka V., Popereshnyak S., Skladannyi P., Sokolov V. Protecting Objects of Critical Information Infrastructure from Wartime Cyber Attacks by Decentralizing the Telecommunications Network / CEUR Workshop Proceedings This link is disabled., 2023, 3550, p. 240–245

Published

2024-04-11

Issue

Section

Articles