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首页> 外文期刊>Journal of guidance, control, and dynamics >Estimation-Guided Guidance and Its Implementation via Sequential Monte Carlo Computation
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Estimation-Guided Guidance and Its Implementation via Sequential Monte Carlo Computation

机译：估计指导的制导及其通过顺序蒙特卡洛计算的实现

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摘要

Existing missile guidance strategies are traditionally based on the separation theorem, which has never been proven valid in realistic guidance scenarios. In such cases, only the general separation theorem may be applied, implying a separately designed estimator and a guidance law accounting for the conditional probability density function. A new general-separation-theorem-compliant geometry-based approach is proposed to fusion of estimation and guidance. The conventional notion of reachability sets is extended, facilitating the introduction of miss-sets. A stochastic guidance strategy is proposed that aims at maximizing the pursuer's single-shot kill probability by driving its own miss-set to optimally cover the evader's miss-set (in a probabilistic sense). Information-based trajectory shaping is employed, when applicable, to enhance the scenario's observability, thereby reducing the evader's miss-set uncertainty. Computationally efficient sequential Monte Carlo methods are employed to estimate the evader's miss-set and implement the guidance scheme. A numerical simulation study is used to demonstrate the proposed methodology's robustness and accuracy in a realistic stochastic engagement. The performance of the proposed strategy is compared with that of an advanced perfect-information guidance law, addressing (in particular) real-time implementation issues and constraints. Proof-of-concept simulations demonstrate that the method is real-time amenable using present-day technology.
机译：现有的导弹制导策略传统上是基于分离定理的，在现实制导场景中从未证明过这种方法是有效的。在这种情况下，仅可以应用一般的分离定理，这意味着要单独设计估计器和考虑条件概率密度函数的指导律。提出了一种新的基于一般分离定理的基于几何的方法来融合估计和指导。扩展了可到达性集的传统概念，有助于引入缺失集。提出了一种随机制导策略，其目的是通过驱动追击者自己的失误集来最佳地掩盖逃避者的失误集（在概率意义上），以最大化追击者的单发杀伤概率。如果适用，可采用基于信息的轨迹整形来增强场景的可观察性，从而减少逃避者的未命中不确定性。计算有效的顺序蒙特卡洛方法用于估计逃避者的未命中并实施制导方案。数值模拟研究用于证明所提出的方法在现实的随机参与中的鲁棒性和准确性。将拟议策略的性能与先进的完善信息指导法的性能进行比较，以解决（尤其是）实时实施问题和约束。概念验证仿真表明，该方法可以使用当前技术进行实时修改。

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