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Proposed method for building an anti-drone system for the protection of facilities important for state security

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Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
Unmanned aerial vehicles (UAVs) pose a threat to buildings and facilities important to the security of the state. As they are able to operate like individual aircraft, the number of ways they can be used for terrorist activity is practically unlimited. Anyone in charge of a facility that is crucial for the reliable functioning of a state is obliged to ensure an acceptable level of security. Since drones can be used to attack protected structures, they need to be protected by an anti-drone system. The paper proposes a method for assessing the effectiveness of systems for detecting and neutralising unmanned aerial vehicles. In order to suggest a new method for assessing the effectiveness of anti-drone systems, an analysis of the scientific literature and other documents describing existing anti-drone systems has been carried out. Attacks involving the use of drones, both in wartime and in incidents of terrorism, are also analysed and existing anti-drone solutions assessed. Because there are a variety of technical solutions for the detection and neutralisation of drones, and different location and weather conditions, a universal method is proposed based on probability calculations and neutralisation of drones, using mathematical formulas. This method allows for the effectiveness of the entire anti-drone system to be assessed on the basis of measuring the probability of detection and neutralisation of drones in real conditions. The proposed method allows the effectiveness of the currently existing anti-drone systems to be evaluated and for new methods for detecting and neutralising drones to be proposed. This method, based on mathematical calculations, enables software to be written for simulating anti-drone systems on computers and for the effectiveness of these systems to be confirmed before their construction in a protected facility.
Rocznik
Strony
88--107
Opis fizyczny
Bibliogr. 49 poz., rys., tab.
Twórcy
  • The Faculty of Civil Engineering and Transport, Poznan University of Technology, Poland
  • The Faculty of Civil Engineering and Transport, Poznan University of Technology, Poland
Bibliografia
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  • 31. Maestre, N. del Rey, Mata-Moya, D., Jarabo-Amores, M., Gomez-del-Hoyo P. and Rosado-Sanz, J. (2019) ‘Optimum beamforming to improve UAV’s detection using DVB-T passive radars’, in 2019 IEEE International Radar Conference (RADAR), 23–27 September 2019, Toulon, France, pp. 1–6. doi: 10.1109/RADAR41533.2019.171288.
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  • 34. Oh, J., Lim, D.W. and Kang, K.M. (2020) ‘Unmanned aerial vehicle identification success probability with LoRa communication approach’, in 2020 IEEE 31st Annual International Symposium on Personal, Indoor and Mobile Radio Communications, 23–27 September 2019, Toulon, France, pp. 1–6. doi: 10.1109/PIMRC48278.2020.9217172.
  • 35. Park, S., Kim, H.T., Lee, S., Joo, H. and Kim, H. (2021) ‘Survey on anti-drone systems: Components, designs, and challenges’, IEEE Access, 9, 42635–42659. [9378538]. doi: 10.1109/ACCESS.2021.3065926.
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  • 37. Quevedo, Á.D., Urzaiz, F.I., Menoyo, J.G. and López, A.A. (2018) ‘Drone detection with X-band ubiquitous radar’, in 2018 19th International Radar Symposium (IRS), 23–27 September 2019, Toulon, France, pp. 1–10. doi: 10.23919/IRS.2018.8447942.
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  • 42. Solidakis, G.N. (2017) ‘An Arduino-based subsystem for controlling UAVs through GSM’, in 2017 6th International Conference on Modern Circuits and Systems Technologies (MOCAST), 23–27 September 2019, Toulon, France, pp. 1–4. doi: 10.1109/MOCAST.2017.7937656.
  • 43. Swedish police hunt for drone seen flying over Forsmark nuclear plant. (2022) Reuters. Available at: https://www.reuters.com/world/europe/swedish-police-hunt-drone-seen-flying-over-forsmark-nuclear-plant-2022-01-15 (Accessed: 1 February 2022).
  • 44. Tahir, A., Böling, J., Haghbayan, M.H., Toivonen, H.T. and Plosila, J. (2019) ‘Swarms of unmanned aerial vehicles – A survey’, Journal of Industrial Information Integration, 16, 100106, ISSN 2452-414X. doi: 10.1016/j.jii. 2019.100106.
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  • 46. Wu, Y., Sui, Y. and Wang, G. (2017) ‘Vision-based real-time aerial object localization and tracking for UAV sensing system’, IEEE Access, 5, pp. 23969–23978. doi: 10.1109/ACCESS.2017.2764419.
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Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-80829aa7-0db6-4aa6-a09d-d00d0e98430e
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