Improving the Efficiency of UAV Communication Channels in the Context of Electronic Warfare

• Autorzy: Semendiai Serhii , Tkach Yuliіa , Shelest Mykhailo , Korchenko Oleksander , Ziubina Ruslana , Veselska Olga

Identyfikatory

DOI

10.24425/ijet.2023.147694

• Języki publikacji: EN

Abstrakty

EN

The article is devoted to the development of a method for increasing the efficiency of communication channels of unmanned aerial vehicles (UAVs) in the conditions of electronic warfare (EW). The author analyses the threats that may be caused by the use of electronic warfare against autonomous UAVs. A review of some technologies that can be used to create original algorithms for countering electronic warfare and increasing the autonomy of UAVs on the battlefield is carried out. The structure of modern digital communication systems is considered. The requirements of unmanned aerial vehicle manufacturers for onboard electronic equipment are analyzed, and the choice of the hardware platform of the target radio system is justified. The main idea and novelty of the proposed method are highlighted. The creation of a model of a cognitive radio channel for UAVs is considered step by step. The main steps of modelling the spectral activity of electronic warfare equipment are proposed. The main criteria for choosing a free spectral range are determined. The type of neural network for use in the target cognitive radio system is substantiated. The idea of applying adaptive coding in UAV communication channels using multicomponent turbo codes in combination with neural networks, which are simultaneously used for cognitive radio, has been further developed.

Słowa kluczowe

EN

cognitive radio; software-defined radio; neural networks; coding; electronic warfare; communication channel; wireless communications; spectrum analysis

• Wydawca: Polish Academy of Sciences, Committee of Electronics and Telecommunication
• Czasopismo: International Journal of Electronics and Telecommunications
• Rocznik: 2023
• Tom: Vol. 69, No. 4
• Strony: 727--732
• Opis fizyczny: Bibliogr. 11 poz., fot., wykr.

Twórcy

autor

Semendiai Serhii

• Chernihiv Polytechnic NationalUniversity, Chernihiv, Ukraine

autor

Tkach Yuliіa

• Chernihiv Polytechnic NationalUniversity, Chernihiv, Ukraine

autor

Shelest Mykhailo

• Chernihiv Polytechnic NationalUniversity, Chernihiv, Ukraine

autor

Korchenko Oleksander

• Department of Information Technology Security of National Aviation University, Kyiv, Ukraine

autor

Ziubina Ruslana

• Department of Computer Science andAutomatics of the University of Bielsko-Biala, Bielsko-Biala, Poland

autor

Veselska Olga

• Department of Computer Science andAutomatics of the University of Bielsko-Biala, Bielsko-Biala, Poland

Bibliografia

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• [5] Valieva, I. (2020). Spectrum Sensing for Dynamic Spectrum Access in Cognitive Radio. http://urn.kb.se/resolve?urn=urn:nbn:se:mdh:diva-52881.
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• [7] W. Jiang and H. D. Schotten, “Recurrent Neural Networks with Long Short-Term Memory for Fading Channel Prediction,” 2020 IEEE 91st Vehicular Technology Conference (VTC2020-Spring), May 2020, https://doi.org/10.1109/vtc2020-spring48590.2020.9128426
• [8] Software Defined Cognitive Radio using Matlab. https://www.scribd.com/doc/103610191/Cognitive-Radio
• [9] Usage Manual - GNU Radio. GNU Radio. https://wiki.gnuradio.org/index.php?title=Usage_Manual
• [10] M. Rathika, P. Sivakumar, K. Ramash Kumar, and I. Garip, “Cooperative Communications Based on Deep Learning Using a Recurrent Neural Network in Wireless Communication Networks,” Mathematical Problems in Engineering, vol. 2022, pp. 1-12, Dec. 2022, https://doi.org/10.1155/2022/1864290
• [11] J. SukhPaulSingh, J. Singh, and A. S. Kang, “Cognitive Radio: State of Research Domain in Next Generation Wireless Networks - A Critical Analysis,” International Journal of Computer Applications, vol. 74, no. 10, pp. 1-9, Jul. 2013, https://doi.org/10.5120/12918-9741

Uwagi

Opracowanie rekordu ze środków MNiSW, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2024).