基于集合卡尔曼平方根滤波(EnKF-SR)弹道估计的导弹导航制导系统设计

T. Herlambang
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引用次数: 25

摘要

本文研究的是某型导弹导航制导系统的研制。发展从确定导弹的弹道开始,这是知道导弹将被导向何处的基本需要。然后利用弹道作为制导,使导弹能够按照给定的弹道到达目标。采用平方根格式的集成卡尔曼滤波(EnKF-SR)对导弹弹道进行估计,使导弹保持在弹道轨迹上。EnKF-SR算法在导弹模型上的实现通过建立两个仿真,分别生成150和250个综群。仿真结果表明,与生成150个集合相比,生成250个集合可以得到更精确的结果。仿真结果表明,仿真轨迹与真实轨迹的跟踪精度在99%左右。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Design of a navigation and guidance system of missile with trajectory estimation using ensemble Kalman Filter square root (EnKF-SR)
This paper is the study on the development of navigation and guidance system for a missile. The development begins by determining the trajectory of missile which is the basic need to know where the missile shall be directed. Then the trajectory is used as a guidance so that the missile can reach the targets according to the given trajectory. The Ensemble Kalman Filter with a square root scheme (EnKF-SR) for the estimation of missile trajectory are applied to keep the missile on the trajectory track. The implementation of EnKF-SR algorithm on the Missile model is carried out by establishing two simulations, namely by generating 150 and 250 ensembles, respectively. The simulations exhibit that the generation of 250 ensembles will give more accurate results in comparison to the generation of 150 ensembles. Furthermore, the best simulation yields the tracking accuracy between the real and simulated trajectories is in the order of 99 %.
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