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Game Theoretic Target Assignment Approach in Ballistic MissileDefense

机译:弹道导弹防御中的博弈论目标分配方法

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In this paper, both Pareto game theory and learning theory algorithms are utilized in a resource management module for a practical missile interception system. The resource management module will determine how many and which antimissiles will be launched for interception. Such interception decisions are based on the number of invading missiles, availability of antimissiles, special capability of antimissiles, and realistic constraints on the movements of both invading missiles and antimissiles such as minimum turning radius, maximum velocity, fuel range, etc. Simulations demonstrate performance improvements when compared to existing strategies (i.e. random assignment), independent of guidance laws (i.e. Proportional Navigation (PN) or the Differential-Game-based Guidance Law (DGL) guidance laws) under endgame interception cases or midcourse interception situations.
机译:在本文中,帕累托博弈理论和学习理论算法都被用于实际导弹拦截系统的资源管理模块中。资源管理模块将确定将发射多少枚反导导弹进行拦截。此类拦截决策基于入侵导弹的数量,反导导弹的可用性,反导导弹的特殊能力以及对侵袭导弹和反导导弹的运动的实际限制,例如最小转弯半径,最大速度,燃料射程等。仿真演示了性能与现有策略(即随机分配)相比在终端游戏拦截情况或中途拦截情况下独立于制导律(即比例导航(PN)或基于差分博弈的制导律(DGL)指导法)的改进。

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