확률모형 기반 기뢰탐색 임무계획 산출 알고리즘

권오준¹ ; 하용훈²^{, *}

1해군 대위/국방대학교 국방과학학부 무기체계학과 석사과정
2국방대학교 국방과학학부 무기체계학과 부교수

Probabilistic-Model-Based Algorithm for Mine Search Mission Planning

Ohjoon Kwon¹ ; Yonghoon Ha²^{, *}

1LT, ROK Navy/M.S. candidate, Dept. of Defense Science, KNDU
2Associate professor, Dept. of Defense Science, KNDU

Correspondence to: *Yonghoon Ha Hwangsanbul-ro 1040, Yangchon-myeon, Nonsan-si, Chungcheongnam-do 33021, Republic of Korea Tel: +82-41-831-5385 Fax: +82-2-748-7588 E-mail: yonghoonha@korea.kr

초록

본 연구는 초기 기뢰탐색 단계에서 허용 미탐기뢰 수와 신뢰도 기준을 직접 반영할 수 있는 확률모형 기반 임무계획 산출 알고리즘을 제안한다. 제안 알고리즘은 기뢰 수량의 불확실성과 탐색전력의 성능을 고려하여 요구 탐색수준을 산정하고, 이를 소항계획으로 도출하도록 구성하였다. 알고리즘의 타당성은 평균 총 기뢰수, 허용 미탐기뢰 수 및 신뢰도 기준을 변화시킨 시나리오를 통해 요구조건 충족성을 확인하고, 몬테카를로 시뮬레이션을 통해 임무계획의 실현 가능성을 검증하는 방식으로 평가하였다.

Abstract

This paper proposes a probabilistic-model-based mission planning algorithm that directly reflects the allowable number of undetected mines and the required confidence level during the initial mine search phase. The proposed algorithm was designed to estimate the required search level by considering uncertainty in the number of mines and the performance of search assets, and to derive the corresponding search plan. The validity of the algorithm was evaluated by verifying requirement satisfaction under scenarios with varying mean total numbers of mines, allowable numbers of undetected mines, and confidence levels, and by assessing the feasibility of the mission plans through Monte Carlo simulation.

Keywords:

Mine Countermeasures, Mission Planning, Poisson Distribution, Koopman Search Theory

키워드:

기뢰대항작전, 임무계획, 포아송 확률분포, Koopman 탐색이론

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