为了实现火箭弹精确打击,根据飞行弹道参数对弹道进行修正。应用文中提出的双气动参数辨识算法,去除出现在信号初始阶段的野值,降低对后续卡尔曼滤波的影响。随后利用基于新息判断野值的卡尔曼滤波器,结合质点弹道模型,建立了卡尔曼滤波弹道模型,对一段飞行参数进行野值的去除与滤波,并对火箭弹落点进行外推。结果表明,该方法可以将量测数据中的野值有效去除。落点估计可知,外推时间的推后可以增加预估的精度。

Precise rocket strike, requires trajectory correction according to trajectory parameters.In this paper, double aerodynamic parameter identification algorithm was used to remove appears in initial phase of signal outliers, reduce impact on subsequent Kalman filter.Intermediate outlier measurement information was used to judge based on prediction error of the Kalman filter combined with particle trajectory model for construction of the Kalman filter trajectory model.The Kalman filter trajectory model was used to remove and filter outliers of a section of flight parameters, and extrapolate the rockets impact point.The simulation results show that, the filter can remove and filter the outliers in radar measurement data effectively.We can know that prediction accuracy can increase by postponing extrapolation.