Analysis of the Possibilities of Using Neural Networks to Control the System of Software Defined Radio

dc.contributor.authorHula, Ihor
dc.date.accessioned2024-10-07T10:11:23Z
dc.date.available2024-10-07T10:11:23Z
dc.date.issued2024
dc.description.abstractThe 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.
dc.description.sponsorshipХмельницька обласна організація СНІО України
dc.identifier.citationHula, 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.
dc.identifier.isbn978-966-8776-54-0
dc.identifier.urihttps://elar.khmnu.edu.ua/handle/123456789/16897
dc.publisherProceedings of the 19th International Conference on Modern Achievements of Science And Education, September 29 – October 06, 2024, Netanya (Israel). Khmelnytskyi National University
dc.subjectmultilayer neural networks
dc.subjectSDR
dc.subjectdigital modulation
dc.titleAnalysis of the Possibilities of Using Neural Networks to Control the System of Software Defined Radio
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