Detection of Low-RCS Targets in Sea-Clutter using Multi-Function Radar

다기능 레이다를 이용한 저 RCS 해상표적 탐지성능 분석

  • Lee, Myung-Jun (Department of Electronic Engineering, Pohang University of Science and Technology) ;
  • Kim, Ji-eun (Department of Electronic Engineering, Pohang University of Science and Technology) ;
  • Lee, Sang-Min (Department of Electronic Engineering, Pohang University of Science and Technology) ;
  • Jeon, Hyeon-Mu (Hanwha System) ;
  • Yang, Woo-Yong (Hanwha System) ;
  • Kim, Kyung-Tae (Department of Electronic Engineering, Pohang University of Science and Technology)
  • Received : 2019.05.14
  • Accepted : 2019.06.14
  • Published : 2019.06.30


Multi-function radar(MFR) is a system that uses various functions such as detection, tracking, and classification. To operate the functions in real-time, the detection stage in MFR usually uses radar signals for short measurement time. We can utilize several conventional detectors in the MFR system to detect low radar cross section maritime targets in the sea-clutter; however, the detectors, which have been developed to be effective for radar signals measured for a longer time, may be inappropriate for MFR. In this study, we proposed a modelling technique of sea-clutter short measurement time. We combined the modeled sea-clutter signal with the maritime-target signal, which was obtained by the numerical analysis method. Using this combined model, we exploited four independent detectors and analyzed the detection performances.

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그림 1. 해상 클러터 모델링 흐름도 Fig. 1. Flowchart of sea clutter modeling.

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그림 2. 해상클러터 신호 크기 분포 모델링 비교[6] Fig. 2. Comparison of amplitude statics[6].

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그림 3. 해상클러터에서 보이는 파도 모습 Fig. 3. Shape of sea waves in sea clutter signal.

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그림 4. 해상클러터 신호 거리 프로파일 Fig. 4. Range profile of sea clutter.

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그림 5. 레이다 해상 클러터 반사 면적 Fig. 5. Reflected surface of radar.

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그림 6. 1차원 일정오경보율 탐지기 구조 Fig. 6. Structure of 1-dimensional CFAR detector.

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그림 7. 단일 함수 분해 기법 블록 다이어그램[14] Fig. 7. Block-diagram of EMD[14].

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그림 8. 해상 표적 탐지 시뮬레이션 시나리오 Fig. 8. Simulation of marine target detection.

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그림 9. 텍스쳐 모델링을 위한 자기 상관 함수 Fig. 9. ACF for texture modeling.

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그림 10. 단일 펄스 해상 클러터 모델링 Fig. 10. Sea clutter modeling of single pulse.

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그림 11. 다중 펄스 해상 클러터 모델링 Fig. 11. Sea clutter modeling of multi pulses.

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그림 12. 탐지성능비교를 위한 ROC 커브 Fig. 12. ROC curve of detection performance.

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그림 13. PFA = 5 × 10-2의 CA-CFAR로 인한 오경보 Fig. 13. False alarms from CA-CFAR with PFA = 5 × 10-2.

표 1. 시뮬레이션에서 사용한 클러터, 표적 매개변수 Table 1. Simulation clutter & target parameters.

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표 2. 시뮬레이션에서 사용한 레이다 매개변수 Table 2. Simulation radar parameters.

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표 3. 시뮬레이션에서 사용한 탐지기법 매개변수 Table 3. Simulation detector parameters.

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Supported by : 한화시스템


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