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학술논문한국전자파학회 논문지2019.06 발행KCI 피인용 4

다기능 레이다를 이용한 저 RCS 해상표적 탐지성능 분석

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

이명준(포항공과대학교); 김지은(포항공과대학교); 이상민(포항공과대학교); 전현무(한화시스템); 양우용(한화시스템); 김경태(포항공과대학교)

30권 6호, 507~517쪽

초록

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.

Abstract

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.

발행기관:
한국전자파학회
DOI:
http://dx.doi.org/10.5515/KJKIEES.2019.30.6.507
분류:
전기공학

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다기능 레이다를 이용한 저 RCS 해상표적 탐지성능 분석 | 한국전자파학회 논문지 2019 | AskLaw | 애스크로 AI