
Swerling 모델 기반 탄도탄 탐지 레이다의 최소 요구 성능 도출
Ⓒ 2025 Korea Society for Naval Science & Technology
초록
조기경보레이다는 탄도탄의 탐지를 목적으로 운용되는 전략적 감시 자산으로, 탐지 성능 확보를 위한 정량적 분석이 필수적이다. 본 연구에서는 펜스 탐지 개념을 기반으로, 발사 거리와 고각 펜스 범위에 따라 탄도탄의 단 분리 상태를 구분하고, 각 상태에 swerling 모델을 적용하여 시뮬레이션 기반의 탐지 가능성 분석을 수행하였다. 임의의 RCS 값에 대한 통계적 분석을 통해 최소 요구 SNR을 도출하고, 이를 바탕으로 레이다 운용 및 설계 시 고려해야 할 성능 마진을 정량적으로 제시하였다.
Abstract
Early warning radars are critical strategic assets designed for the detection of ballistic missiles, requiring rigorous quantitative analysis to ensure reliable performance. This study proposes a simulation-based framework that RCS modeling using swerling models(random value of RCS) according to the missile's separation state within a defined fence search elevation range. The minimum required signal-to-noise ratio (SNR) is derived for a given detection probability and false alarm rate, thereby quantifying the radar performance margin needed under RCS uncertainty.
Keywords:
Early Warning Radar, TBM RCS, Fence Search, Swerling Model, Radar M&S키워드:
조기경보레이다, 탄도탄 미사일 RCS, 펜스 탐색, 스월링 모델, 레이다 M&SReferences
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