Journal of the Korea Institute of Military Science and Technology (한국군사과학기술학회지)

The Korea Institute of Military Science and Technology (한국군사과학기술학회)
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Threat Analysis and Engagement Algorithm Research to Develop Intelligent Active Protection System Technology

지능형 능동방호기술 개발을 위한 위협체 분석 및 교전 알고리즘 연구

  • Chunghwan Kim (Land Combat R&D Center, Hanwha System) ;
  • Seungbum Suh (Land Combat R&D Center, Hanwha System) ;
  • Seonghan Park (Dept. of Mechanicla & Systems Engineering, Korea Military Academ) ;
  • Juhee Kim (Dept. of Mechanicla & Systems Engineering, Korea Military Academ)
  • 김정환 (한화시스템(주) 지상연구소) ;
  • 서승범 (한화시스템(주) 지상연구소) ;
  • 박성한 (육군사관학교 기계시스템공학과) ;
  • 김주희 (육군사관학교 기계시스템공학과)
  • Received : 2025.02.19
  • Accepted : 2025.07.07
  • Published : 2025.08.05
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Abstract

The recent war between Russia and Ukraine has raised interest and the need for active protection systems for combat vehicles. Combat vehicles are protected by armor, but the development of threats to disable them is accelerating further. In particular, questions are being raised about the operational effectiveness of armored combat vehicles, which have recently been severely damaged by missiles and drone attacks in combat settings. To overcome this reality, we are reviewing the application of hard-kill and soft-kill active protection systems to apply a multi-layer protection system for next-generation combat vehicles. Improved survivability increases combat duration and ultimately affects combat power. In this paper, we investigate and analyze various threats to destroy combat vehicles on the battlefield, analyze the minimum range and appropriate response time for operation of the threats based on an operation concept that takes into account recent combat patterns, and establish a response concept for active protection technology based on this concepts. To this end, we propose an engagement algorithm that analyzes the threat level based on the flight information of the identified threat, determines the threat priority, and assigns a response order of countermeasures.

Keywords

Acknowledgement

본 논문은 2023년 정부(방위사업청)의 재원으로 국방기술진흥연구소의 지원을 받아 수행된 연구임(No. KRIT-CT-23-004, 차세대 보병전투차량 다중위협체 대응 지능형 능동방호 기술).

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