Journal of the Korea Institute of Information and Communication Engineering (한국정보통신학회논문지)

The Korea Institute of Information and Commucation Engineering (한국정보통신학회)
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An Illegal Drone Tracking Scheme Using Swarming Flight

군집 비행을 이용한 불법 드론 추적 기법

  • Kim, Ryun-Woo (Department of Information and Communication Engineering, Gyeongsang National University) ;
  • Song, Hong-Jong (4th Industrial ICT Team, National Radio Research Agency) ;
  • Ban, Tae-Won (Department of Intelligent Communication Engineering, Gyeongsang National University)
  • Received : 2022.05.05
  • Accepted : 2022.05.24
  • Published : 2022.06.30
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Abstract

Drones have been widely used in various fields due to the rapid development of done-related technologies, which causes various problems. The schemes which can track target drones by using signal transmitted by target drones have been investigated as a key technology for anti-drone systems to solve these problems. In this paper, we investigate an illegal drone tracking system based on swarming flight that consists of multiple small drones in order to resolve the limitations of a conventional system that consists of a single drone. In addition, we also propose a scheme with which we can adaptively adjust the separation distance between small drones in a swarm according to channel situations. We analyzed the performance of the proposed scheme in terms of success ratio and the number of movements. The proposed scheme can improve the success ratio and the number of movements by 170% and 63% respectively, compared to the conventional scheme.

최근 드론 관련 기술의 급격한 발전으로 드론이 여러 분야에서 널리 이용되고 있으며, 이로 인해 다양한 문제점들이 발생하고 있다. 불법 드론이 방송하는 통신 신호를 이용해 목표물을 추적하는 기술이 이러한 문제점들을 해결하기 위한 안티드론 시스템의 요소 기술 중 하나로 연구되고 있다. 본 논문에서는 단일 드론으로 구성된 기존 추적 시스템의 기술적 한계점을 해결하기 위하여 다수의 소형 드론들로 구성된 군집 비행 기반의 불법 드론 추적 시스템을 연구한다. 그리고, 군집 내 소형 드론들의 이격거리를 채널 환경에 따라서 적응적으로 제어할 수 있는 기법을 제안한다. 다양한 환경에서의 시뮬레이션을 통하여 제안 방식의 성능을 목표물 추적 성공률과 이동 횟수 관점에서 분석하였다. 제안 방식은 기존 방식 대비 목표물 추적 성공률과 이동 횟수를 약 170%와 63%씩 개선할 수 있었다.

Keywords

Acknowledgement

This work was supported by the ICT R&D program of MSIT/IITP. [2019-0-00499, Development of identification and frequency management technology of small drones at low altitude]

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