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<p>As advances in missile technology compress engagement windows and complicate trajectories, modern theater missile defense systems are required to respond rapidly and adaptively. We present a unified architecture that couples a modular simulator built on the Discrete Event System Specification (DEVS) formalism with an AI-based weapon–target assignment (WTA) algorithm. The proposed architecture supports rapid prototyping across diverse engagement scenarios and enables quantitative evaluation of WTA strategies. In our case study, we evaluate the proposed AI-based algorithm against heuristic baselines under varied theater defense conditions. The results demonstrate that the AI-based policy exhibits non-myopic behavior, conserving interceptors for anticipated future threats. Under resource constraints, this leads to more efficient use of defensive assets. We also find that this non-myopic tendency can be tuned via hyperparameters, indicating that the AI-based WTA flexibly covers a broader range of engagement strategies.</p>

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AI-Integrated Architecture for Theater Missile Defense Simulation

  • 期刊论文

  • 发表日期：

    2026年5月22日

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  • Chang-Seok Han,
  • Hyungho Na,
  • Juho Choi,
  • Yeeun Park,
  • Jongsu Hwang,
  • Il-Chul Moon,
  • Tae-Sub Yun

摘要

As advances in missile technology compress engagement windows and complicate trajectories, modern theater missile defense systems are required to respond rapidly and adaptively. We present a unified architecture that couples a modular simulator built on the Discrete Event System Specification (DEVS) formalism with an AI-based weapon–target assignment (WTA) algorithm. The proposed architecture supports rapid prototyping across diverse engagement scenarios and enables quantitative evaluation of WTA strategies. In our case study, we evaluate the proposed AI-based algorithm against heuristic baselines under varied theater defense conditions. The results demonstrate that the AI-based policy exhibits non-myopic behavior, conserving interceptors for anticipated future threats. Under resource constraints, this leads to more efficient use of defensive assets. We also find that this non-myopic tendency can be tuned via hyperparameters, indicating that the AI-based WTA flexibly covers a broader range of engagement strategies.