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Adaptive Jamming Considering Location Information Inaccuracy for Anti-UAV System
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dc.contributor.author Jin, Woo Cheol -
dc.contributor.author Kim, Kyungtae -
dc.contributor.author Choi, Ji-Woong -
dc.date.accessioned 2023-12-26T19:12:28Z -
dc.date.available 2023-12-26T19:12:28Z -
dc.date.created 2021-03-02 -
dc.date.issued 2021-01-13 -
dc.identifier.isbn 9781728191003 -
dc.identifier.issn 1976-7684 -
dc.identifier.uri http://hdl.handle.net/20.500.11750/46954 -
dc.description.abstract The safety threat caused by malicious UAV poses the necessity of the anti-UAV systems. The anti-UAV systems consist of surveillance for detecting UAV and countermeasure system for preventing UAV behaviour. One of the prospective countermeasure methods is a jamming technique, which disrupts malicious UAV communications. The jamming performance can be enhanced by employing multi-antennas based beamforming with concentrating signal power to the direction of a malicious UAV. To radiate directive jamming signal toward the malicious UAV, the anti-UAV system uses the location information of UAV detected by the surveillance system. However, because of the UAV characteristics such as the small size and high mobility, it is difficult to obtain accurate location information. Such inaccuracy may cause jamming performance degradation due to the misalignment between directive jamming signal and malicious UAV. In this paper, we propose an anti-UAV system that compensates for the inaccuracy of location information by adapting the main-lobe beamwidth of the jamming signal. We evaluate the jamming performance of the proposed anti-UAV system depending on the location information inaccuracy with simulation. © 2021 IEEE. -
dc.language English -
dc.publisher IEEE Computer Society -
dc.relation.ispartof International Conference on Information Networking -
dc.title Adaptive Jamming Considering Location Information Inaccuracy for Anti-UAV System -
dc.type Conference Paper -
dc.identifier.doi 10.1109/ICOIN50884.2021.9334027 -
dc.identifier.wosid 000657974100087 -
dc.identifier.scopusid 2-s2.0-85100818810 -
dc.identifier.bibliographicCitation International Conference on Information Networking, ICOIN 2021, pp.480 - 482 -
dc.identifier.url https://public.thinkonweb.com/sites/icoin2021/fProgram -
dc.citation.conferenceDate 2021-01-13 -
dc.citation.conferencePlace KO -
dc.citation.conferencePlace Jeju Island -
dc.citation.endPage 482 -
dc.citation.startPage 480 -
dc.citation.title International Conference on Information Networking, ICOIN 2021 -
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최지웅
Choi, Ji-Woong최지웅

Department of Electrical Engineering and Computer Science

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