Analysis of the Possibilities of Using Neural Networks to Control the System of Software Defined Radio
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Дата
2024
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Видавець
Proceedings of the 19th International Conference on Modern Achievements of Science And Education, September 29 – October 06, 2024, Netanya (Israel). Khmelnytskyi National University
Анотація
The manuscript is devoted to the management of software-defined radio (SDR) systems that provide programmatic control of information transmission processes in a radio channel. It considers the automatic recognition of digital modulation types, which allows to classify received signals by their digital modulation. The article analyzes existing approaches to automatic recognition of different types of digital modulation, such as 2-PSK, 4-PSK, 8-PSK, 2-FSK, 8-QAM, 16-QAM, 64-QAM and OFDM, and considers informative features for this process.
To solve these problems, the author of the manuscript uses a neural network approach, in particular, methods of cumulative characteristics. The methods for calculating and selecting informative cumulative features are described, which are used in the developed model of the system for automatic recognition of digital modulations using a neural network at a known carrier frequency.
Опис
Ключові слова
multilayer neural networks, SDR, digital modulation
Бібліографічний опис
Hula, I. (2024). Analysis of the Possibilities of Using Neural Networks to Control the System of Software Defined Radio. Proceedings of the 19th International Conference on Modern Achievements of Science And Education, September 29 – October 06, 2024, Netanya (Israel). Khmelnytskyi National University. 100-102.