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Implementation of Radar Drone Detection Based on ISAR Technique

ISAR 영상 기반 소형 드론 탐지 구현

  • Lee, Kee-Woong (Department of Electronic and Information Engineering, Korea Aerospace University) ;
  • Song, Kyoung-Min (Department of Electronic and Information Engineering, Korea Aerospace University) ;
  • Song, Jung-Hwan (CAL Lab, HyperSensing, Inc.) ;
  • Jung, Chul-Ho (CAL Lab, HyperSensing, Inc.) ;
  • Lee, Woo-kyung (Department of Electronic and Information Engineering, Korea Aerospace University) ;
  • Lee, Myeong-Jin (Department of Electronic and Information Engineering, Korea Aerospace University) ;
  • Song, Yong-Kyu (Department of Aerospace and Mechanical Engineering, Korea Aerospace University)
  • 이기웅 (한국항공대학교 항공전자공학과) ;
  • 송경민 (한국항공대학교 항공전자공학과) ;
  • 송정환 ((주) 하이퍼센싱 기술연구소) ;
  • 정철호 ((주) 하이퍼센싱 기술연구소) ;
  • 이우경 (한국항공대학교 항공전자공학과) ;
  • 이명진 (한국항공대학교 항공전자공학과) ;
  • 송용규 (한국항공대학교 항공우주 및 기계공학부)
  • Received : 2016.11.16
  • Accepted : 2017.01.17
  • Published : 2017.02.28

Abstract

Along with the popular use of commercial drones, there are increased concerns on the possible threats from drones intruding into secured areas. The difficulty of drone detection is attributed to its stealthy operation flying at low altitude with low level signature. Consequently, the anti-drone technique has been of major research topic in recent years and among others, the radar detection is considered as the most promising technique. However, the use of conventional radar detection may not be effective due to the low level radar cross sections of the commercial drones. In this paper, ISAR technique has been employed to implement drone detection in urban area. To this purpose, a pulsed radar system is set up on the ground to track flying drones and the corresponding ISAR images are produced by coherent processing.

Acknowledgement

Supported by : 국가보안기술연구소

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