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

The Korea Institute of Military Science and Technology (한국군사과학기술학회)
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Analysis of Resource Management of Multi-Function Radar according to Optimization Settings

최적화 설정에 따른 다기능레이다 자원관리 분석

  • 박명훈 (LIG넥스원(주) 해양연구소) ;
  • 김정 (LIG넥스원(주) 해양연구소) ;
  • 권세웅 (LIG넥스원(주) 레이다연구소) ;
  • 황순혁 (LIG넥스원(주) 레이다연구소) ;
  • 이소영 (LIG넥스원(주) 레이다연구소)
  • Received : 2025.08.21
  • Accepted : 2025.10.30
  • Published : 2025.12.05
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Abstract

Multi-Function Radar(MFR) systems must concurrently perform search and tracking within strict time and energy limits, rendering resource allocation critical. This study applies Particle Swarm Optimization(PSO)-noted for its simplicity and global search capabilities-to optimize resource management in MFR operations. Three operational presets(SEARCH, BALANCED, and TRACK) were predefined to represent distinct operational modes. Monte Carlo simulations quantified each preset's performance in search coverage, tracking retention, and time-budget compliance. Results demonstrated clear differentiation between presets, indicating that operators can seamlessly shift from search-oriented to tracking-oriented operations by merely adjusting preset parameters without redesigning system architecture. These findings provide a practical framework for enhancing flexibility in both design and operational phases. Future work will incorporate multi-objective optimization and adaptive parameter scheduling to further improve responsiveness to dynamic battlefield environments.

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References

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