摘要
对弹道导弹主动段进行跟踪是弹道导弹主动段防御中极其重要的任务,它是制导拦截的基础。针对传统方法在弹道导弹主动段跟踪能力不足,建立了弹道导弹主动段样条滤波算法。该滤波算法首先用样条函数建立了主动段运动模型,其次在此基础上将运动状态进行了解耦,建立了状态方程,最后基于解耦模型,应用Kalman滤波进行了状态估计,并且在估计中设计了模型更新方法,使算法具有很好的机动跟踪性能。仿真实验证明,该跟踪算法估计精度高于其它算法。
The tracking of ballistic missile under boost-phase is extremely important in the missile early defense program. It is the base of interception. In respect that traditional methods have essential deficiency on the tracking of ballistic missile under boost-phase, this paper introduces a filter algorithm based on spline modeling. First, a ballistic missile under boost-phase motion model is established based on spline function. Then movement state is decoupled. Equation of State is established. At last, based on the decoupling model, state is estimated by using Kalman Filter. This paper has designed a model updating method in order to make it capable of maneuver target tracking. The simulation result shows that this algorithm has high precision and good performance.
出处
《导弹与航天运载技术》
北大核心
2012年第1期53-57,62,共6页
Missiles and Space Vehicles
作者简介
张峰（1983-），男，博士研究生，主要从事数据融合方面的研究
