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Cooperative Interception Via Staggering and Information Sharing

机译:通过交错和信息共享进行合作拦截

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摘要

A novel cooperative tracking and interception strategy, which ex-ploits information sharing and missile staggering, is presented. The keyidea underlying the approach is to exploit the superior information col-lected by the leading missile to improve the interception performanceof the trailing missiles. For tracking a maneuvering target, the paperderives a nonlinear adaptation of an interacting multiple model lter incooperative and non-cooperative estimation modes. The optimal stag-gering between the missiles is derived based on a linear model and adeterministic approximation of the stochastic estimation process. Anextensive Monte Carlo study, in a nonlinear two-dimensional simula-tion of a ballistic missile defense scenario, is used to demonstrate theviability of the proposed strategy. It is shown that, for a two-on-one in-terception engagement, the trailing missile's estimation performance, inthe information-sharing mode, substantially improves, when comparedto that of non-cooperating missiles. Combining this estimation improve-ment with guidance laws that utilize target acceleration yields a dramaticimprovement in the team's closed loop interception performance.
机译:一种新颖的协作跟踪和拦截策略, 介绍了如何实现信息共享和交错导弹。钥匙 该方法的基本思想是利用卓越的信息资源 被领先的导弹选中以提高拦截性能 拖曳的导弹。为了跟踪机动目标,本文 推导相互作用的多模型滤波器的非线性适应 合作和非合作的估算模式。最佳雄鹿 导弹之间的纠缠是基于线性模型和 随机估计过程的确定性近似。一个 广泛的蒙特卡洛研究,在非线性二维模拟中- 弹道导弹防御情景的说明用来证明 拟议策略的可行性。结果表明,对于二合一 拦截接触,即拖曳导弹的估计性能, 相比之下,信息共享模式有了实质性的改善 不合作的导弹。结合这种估计可以改善- 利用目标加速度的制导律的指导产生了戏剧性的效果 改善团队的闭环拦截性能。

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