两种卡尔曼滤波模型在修正弹弹道数据处理中的应用比较

Application Comparision of Two Kalman Filtering Models Used in Trajectory Data Processing of Correction Projectile

为了准确实时估算修正弹的无控弹道,实现简易弹道修正,进一步提高弹箭的密集度,分别应用"当前"动态运动线性模型卡尔曼滤波和非线性质点弹道模型的扩展卡尔曼滤波,对GPS测量的修正弹飞行弹道空间位置参数进行滤波算法的实现与比较.算例仿真结果表明,采用质点弹道模型的滤波估计精度和收敛速度优于"当前"动态运动模型,但对系统模型参数的精度要求较高,对模型参数和过程参数变化的适应性不如"当前"动态运动模型.

To estimate the uncontrolled trajectory of trajectory correction projectile accurately and rapidly,so as to control the flight path and improve the firing dispersion,both of the dynamic motion model（DMM）and point-mass trajectory model（PMTM）were applied to the estimation of flight states for trajectory correction projectile based on GPS and Kalman filtering method.The simulation results indicate that the filtering estimation precision and convergence rate of PMTM are better than those of DMM,but the precision of system model parameters is strictly required for PMTM,and the adaptability of PMTM for the model parameters and variation of process parameters is worse than that of DMM.