在弹道诸元参数最优估计获取过程中,卡尔曼滤波是一种工程应用性强,使用普遍的算法。针对滤波初始状态对卡尔曼滤波过程所造成的不利影响,提出了一种基于多项式拟合的状态初值估计方法。该方法通过对滤波前期弹道数据的选取,进行拟合估计,获得滤波状态初值。在此种估计状态初值下的滤波过程,收敛速度更快,滤波残差波动平缓。仿真结果表明,该估计方法可使最优弹道诸元参数获取时间缩短50%。

In the acquisition process of the optimal estimation of ballistic parameters, Calman filtering is a strong engineering application and is used widely. A state initial value estimation method base on polynomial fitting was proposed to mitigate the adverse effects of initial state of filtering on Calman filtering process. This method obtains the initial value of filter state through the selection and fitting estimation of pre filtering ballistic data. In the filtering process under the initial value of this estimated state, the speed of convergence is faster and the fluctuation of the filter residuals is gentle. The simulation results show that the estimation method can shorten the acquisition time of the optimal ballistic parameters by 50%.