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

The Korea Institute of Military Science and Technology (한국군사과학기술학회)
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Motion Derivatives based Entropy Feature Extraction Using High-Range Resolution Profiles for Estimating the Number of Targets and Seduction Chaff Detection

표적 개수 추정 및 근접 채프 탐지를 위한 고해상도 거리 프로파일을 이용한 움직임 미분 기반 엔트로피 특징 추출 기법

  • Lee, Jung-Won (The 3rd Research and Development Institute, Agency for Defense Development) ;
  • Choi, Gak-Gyu (The 3rd Research and Development Institute, Agency for Defense Development) ;
  • Na, Kyoungil (The 3rd Research and Development Institute, Agency for Defense Development)
  • 이정원 (국방과학연구소 제3기술연구본부) ;
  • 최각규 (국방과학연구소 제3기술연구본부) ;
  • 나경일 (국방과학연구소 제3기술연구본부)
  • Received : 2018.11.06
  • Accepted : 2019.02.25
  • Published : 2019.04.05
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Abstract

This paper proposes a new feature extraction method for automatically estimating the number of target and detecting the chaff using high range resolution profile(HRRP). Feature of one-dimensional range profile is expected to be limited or missing due to lack of information according to the time. The proposed method considers the dynamic movements of targets depending on the radial velocity. The observed HRRP sequence is used to construct a time-range distribution matrix, then assuming diverse radial velocities reflect the number of target and seduction chaff launch, the proposed method utilizes the characteristic of the gradient distribution on the time-range distribution matrix image, which is validated by electromagnetic computation data and dynamic simulation.

Keywords

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Fig. 1. Block diagram for the feature extraction for event detection

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Fig. 2. Time-range distribution and probability density function of gradients without preprocessing for one target

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Fig. 3. Time-range distribution and probability density function of gradients with preprocessing for one target

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Fig. 4. Time-range distribution and probability density function of gradients for one target

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Fig. 5. Time-range distribution and probability density function of gradients for two targets

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Fig. 6. Time-range distribution and probability density function of gradients for three targets

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Fig. 7. Time-range distribution and probability density function of gradients for seduction chaff detection, t = 2.75 s

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Fig. 8. Time-range distribution and probability density function of gradients for seduction chaff detection, t = 4.75 s

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Fig. 9. Entropy according to time when seduction chaff launches(t = 2.5 s)

Table 1. Entropy according to the number of targets

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