一种利用合作导弹进行导弹防御的优化策略

M. Kapsis, Peter Pudney, W. Miller, G. Freebairn
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引用次数: 1

摘要

本文描述了一种利用协同防御导弹群防御攻击导弹的最优策略。这样做的动机是为了让我们能够将一枚高成本的防御导弹与一组低成本的防御导弹进行比较。该策略预测了攻击导弹从已知初始状态到已知目标的可能路径,并确定了两个区域:防御导弹开始寻找攻击导弹时攻击导弹所处的区域,以及攻击导弹可被拦截时所处的区域。使防御导弹队在这两个区域的覆盖范围最大化的瞄准点的选择可以表述为一个多维无约束非线性优化问题。优化决定是对整个搜索和拦截区域进行薄覆盖更好,还是对搜索和拦截区域的部分进行集中覆盖更好以最大限度地阻止攻击导弹的概率。一般来说,每个防御导弹能够看到和击中的路径越多,阻止攻击导弹的可能性就越大。利用Nelder-Mead方法求解了优化问题,并通过算例验证了该方法的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An optimised strategy for using cooperating missiles for missile defence
: This paper describes an optimal strategy for defending against an attacking missile with a team of cooperating defending missiles. The motivation is to allow us to compare a single high-cost defending missile to a team of low-cost defending missiles. The strategy predicts the possible paths of the attacking missile from a known initial state to a known target, then determines two regions: the region the attacking missile will be in when the defending missiles start seeking the attacking missile, and the region the attacking missile will be in when it can be intercepted. The selection of aim points that maximise the defending missile team’s coverage of these two regions can be formulated as a multi-dimensional unconstrained non-linear optimisation problem. The optimisation determines whether it is better to have thin coverage of the entire seek and intercept regions or concentrated coverage on parts of the seek and intercept regions to maximise the probability of stopping the attacking missile. In general, the more paths that each defending missile can see and hit, the greater the probability of stopping the attacking missile. The optimisation problem is solved using the Nelder-Mead method and an example is given to demonstrate the effectiveness of the method.
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