Journal of the Korea Institute of Military Science and Technology (한국군사과학기술학회지)

The Korea Institute of Military Science and Technology (한국군사과학기술학회)
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Experimental Study of Drone Detection and Classification through FMCW ISAR and CW Micro-Doppler Analysis

고해상도 FMCW 레이더 영상 합성과 CW 신호 분석 실험을 통한 드론의 탐지 및 식별 연구

  • Song, Kyoungmin (Korea Aerospace University, Dept. of Electronics and Information Eng.) ;
  • Moon, Minjung (Korea Aerospace University, Dept. of Electronics and Information Eng.) ;
  • Lee, Wookyung (Korea Aerospace University, Dept. of Electronics and Information Eng.)
  • 송경민 (한국항공대학교 항공전자정보공학과) ;
  • 문민정 (한국항공대학교 항공전자정보공학과) ;
  • 이우경 (한국항공대학교 항공전자정보공학과)
  • Received : 2017.10.13
  • Accepted : 2018.03.23
  • Published : 2018.04.05
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Abstract

There are increasing demands to provide early warning against intruding drones and cope with potential threats. Commercial anti-drone systems are mostly based on simple target detection by radar reflections. In real scenario, however, it becomes essential to obtain drone radar signatures so that hostile targets are recognized in advance. We present experimental test results that micro-Doppler radar signature delivers partial information on multi-rotor platforms and exhibits limited performance in drone recognition and classification. Afterward, we attempt to generate high resolution profile of flying drone targets. To this purpose, wide bands radar signals are employed to carry out inverse synthetic aperture radar(ISAR) imaging against moving drones. Following theoretical analysis, experimental field tests are carried out to acquire real target signals. Our preliminary tests demonstrate that high resolution ISAR imaging provides effective measures to detect and classify multiple drone targets in air.

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References

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