METHODS FOR DETECTION AND ELIMINATION OF RADIO INTERFERENCE IN RADIO MONITORING SYSTEMS USING ARTIFICIAL INTELLIGENCE
- Authors
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Abdugafur Khotamov
Associate Professor, Samarkand Branch of the Muhammad al-Khwarizmi State Technical University
Author
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- Keywords:
- Radio monitoring, artificial intelligence, machine learning, neural network, radio interference, spectrum analysis, cognitive radio, 5G/6G.
- Abstract
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This scientific article considers the issues of using artificial intelligence methods in the detection, classification and elimination of radio interference in radio monitoring systems. The effectiveness of machine learning, deep neural networks, reinforcement learning and adaptive filtering algorithms is analyzed. The proposed approaches are aimed at increasing spectrum efficiency, improving signal quality and ensuring automatic control.
Nowadays, radio communications, telecommunications, radar and wireless data transmission systems are developing rapidly. One of the main problems in these areas is radio interference (noise), which degrades signal quality, leads to data loss and reduces system reliability. Traditional filtering and signal processing methods do not always provide high efficiency. Therefore, the use of artificial intelligence (AI) technologies to eliminate radio interference is relevant. - References
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1. Melanie Mitchell — “Artificial Intelligence: A Guide for Thinking Humans”. Explains AI concepts in simple language, very suitable for beginners.
2. Stuart Russell, Peter Norvig — “Artificial Intelligence: A Modern Approach”. The most popular textbook on AI (classic). Covers search, logical reasoning, machine learning, NLP and others.
3. Tom Mitchell — “Machine Learning” One of the main books on machine learning theory.
4. Aurélien Géron — “Hands-On Machine Learning with Scikit-Learn, Keras & TensorFlow” Practical examples with Python. One of the best practical books.
5. Sebastian Raschka — “Python Machine Learning” Algorithms + code + explanations.
6. Andreas Müller, Sarah Guido — “Introduction to Machine Learning with Python” Simple and understandable, for beginners-intermediate level.
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- Published
- 2026-02-11
- Issue
- Vol. 2 No. 2 (2026)
- Section
- Articles
- License
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This work is licensed under a Creative Commons Attribution 4.0 International License.
