| Motion Derivatives based Entropy Feature Extraction Using High-Range Resolution Profiles for Estimating the Number of Targets and Seduction Chaff Detection |
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Jung-Won Lee, Gak-Gyu Choi, Kyoungil Na |
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The 3rd Research and Development Institute, Agency for Defense Development |
| 표적 개수 추정 및 근접 채프 탐지를 위한 고해상도 거리 프로파일을 이용한 움직임 미분 기반 엔트로피 특징 추출 기법 |
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이정원, 최각규, 나경일 |
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국방과학연구소 제3기술연구본부 |
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| Abstract |
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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. |
| Key Words:
RADAR, Feature Extraction, High Range Resolution Profile, Dynamic Feature |
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