Scholarlink

<p>Cooperative engagement (CE) is a strategy in which defensive assets share target information to coordinate a joint response. In this context, radar resources are a key determinant of engagement feasibility. This study applies the concept of CE to a ballistic missile defense system. Based on a simulation that models ballistic missile trajectories and defensive assets, it then formulates and solves a dynamic weapon–target assignment (DWTA) problem that incorporates integrated fire control using precision cue and forward pass as well as radar resources. Initially, the problem was formulated using binary integer programming. However, this approach led to a rapid increase in problem complexity, revealing its limitations for practical application. To address this problem, the formulation is refined by explicitly separating independent and dependent variables, and a 2-Layered Heuristic algorithm is implemented to operate efficiently in multi-target, multi-weapon environments. The proposed algorithm is structured to sequentially perform battery-level assignment followed by weapon launch scheduling. Compared with a genetic algorithm (GA)-based approach, the proposed 2-Layered Heuristic algorithm achieved more stable performance and faster assignment speed. Additionally, its practical effectiveness as a DWTA method for real-time applications in CE environments was validated.</p>

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Weapon-Target Assignment in Cooperative Engagement for Multi-Layered Ballistic Missile Defense Under Radar Resource Constraints

  • 期刊论文

  • 发表日期：

    2026年5月21日

查看全文
  • Sang-Eun Yoo,
  • Sang-Hyun Lee,
  • Young-Hyeon Cha,
  • Dae-Sung Jang

摘要

Cooperative engagement (CE) is a strategy in which defensive assets share target information to coordinate a joint response. In this context, radar resources are a key determinant of engagement feasibility. This study applies the concept of CE to a ballistic missile defense system. Based on a simulation that models ballistic missile trajectories and defensive assets, it then formulates and solves a dynamic weapon–target assignment (DWTA) problem that incorporates integrated fire control using precision cue and forward pass as well as radar resources. Initially, the problem was formulated using binary integer programming. However, this approach led to a rapid increase in problem complexity, revealing its limitations for practical application. To address this problem, the formulation is refined by explicitly separating independent and dependent variables, and a 2-Layered Heuristic algorithm is implemented to operate efficiently in multi-target, multi-weapon environments. The proposed algorithm is structured to sequentially perform battery-level assignment followed by weapon launch scheduling. Compared with a genetic algorithm (GA)-based approach, the proposed 2-Layered Heuristic algorithm achieved more stable performance and faster assignment speed. Additionally, its practical effectiveness as a DWTA method for real-time applications in CE environments was validated.