Methodology for Building Information Transmission and Processing Systems from Combat Unmanned Aerial Vehicles
Abstract
Purpose. To develop a step-by-step methodology for building information transmission and processing systems for combat unmanned systems, providing a structured approach to architecture selection based on requirements analysis, communication channel evaluation and verification of solutions in accordance with operational objectives.
Method. The methodology is based on a systems approach and combines requirements analysis, formalization of operating environment constraints, a step-by-step procedure for selecting technical solutions and quantitative performance evaluation through the integral indicator D. Iterative simulation modelling is used for verification.
Findings. A five-stage methodology for building information transmission and processing systems for combat UAVs has been developed. It is shown that adhering to the methodology reduces the number of design iterations by 30–40% and increases the integral efficiency indicator D by an average of 22%. The effectiveness of the methodology has been confirmed on synthetic data under active electronic warfare conditions.
Theoretical implications. The theoretical foundations of designing UAV information subsystems are systematised, and for the first time a closed iterative methodology is proposed covering the complete cycle from requirements analysis to solution verification, taking into account the specifics of combat unmanned systems deployment.
Originality / Value. The novelty of the methodology lies in the systematic integration of communication channel selection procedures, topological solutions and protection algorithms into a single formalised process with feedback, enabling adaptation of the system architecture to dynamic combat environment conditions.
Paper type. Methodological research with elements of mathematical modelling.
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References
Mozaffari, M., Saad, W., Bennis, M., Nam, Y., & Debbah, M. (2019). A tutorial on UAVs for wireless networks: applications, challenges, and open problems. IEEE Communications Surveys & Tutorials, 21(3), 2334–2360. https://doi.org/10.1109/COMST.2019.2902862
Akyildiz, I. F., Lee, W.-Y., Vuran, M. C., & Mohanty, S. (2008). A survey on spectrum management in cognitive radio networks. IEEE Communications Magazine, 46(4), 40–48. https://doi.org/10.1109/MCOM.2008.4481339
Derringer, G., & Suich, R. (1980). Simultaneous optimization of several response variables. Journal of Quality Technology, 12(4), 214–219. https://doi.org/10.1080/00224065.1980.11980968
Sapelnikov, O. O., Kaluhin, D. S., Kotliar, M. O., Maksymov, M. O., Ovcharenko, Ye. I., & Tymoshenko, P. V. (2024). Prospects for the development of unmanned systems and their impact on the course of hostilities during the Russian invasion of Ukraine. Science and Technology of the Air Force of Ukraine, 3(56), 7–15. https://doi.org/10.30748/nitps.2024.56.10
Del Portillo, I., Cameron, B. G., & Crawley, E. F. (2019). A technical comparison of three LEO satellite constellation systems to provide global broadband connectivity. Acta Astronautica, 159, 123–135. https://doi.org/10.1016/j.actaastro.2019.03.040
Simon, M. K., Omura, J. K., Scholtz, R. A., & Levitt, B. K. (2002). Spread Spectrum Communications Handbook. McGraw-Hill. ISBN 978-0-07-138215-1.
Kompaniets, O. M., & Dmytriev, A. H. (2024). Information transfer model between UAVs in a swarm based on programmable percolation paths in a cubic lattice. Science and Technology of the Air Force of Ukraine, 4(53), 41–45. https://doi.org/10.30748/nitps.2023.53.05
Riley, G. F., & Henderson, T. R. (2010). The ns-3 network simulator. In Modeling and Tools for Network Simulation (pp. 15–34). Springer. https://doi.org/10.1007/978-3-642-12331-3_2
Rappaport, T. S. (2002). Wireless Communications: Principles and Practice (2nd ed.). Prentice Hall. ISBN 978-0-13-042232-3.
Bekmezci, I., Sahingoz, O. K., & Temel, Ş. (2013). Flying ad-hoc networks (FANETs): a survey. Ad Hoc Networks, 11(3), 1254–1270. https://doi.org/10.1016/j.adhoc.2012.12.004
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