外弹道重构的改进Bayes滤波

由于被积函数及观测方程的复杂性，直接利用古典Bayes方法估计外弹道参数是极其困难的，而Kalman滤波等方法因数据质量问题经常出现发散现象，为了有效重构外弹道，基于Bayes方法，提出了外弹道重构的改进Bayes滤波算法，并给出了递推公式，仿真计算证明，该方法有效解决滤波发散问题和实际工程中的精度问题，是切实可行的方法。

An Improved Bayes Filter to Rebuilding the Trajectory

Because of the complex of the integral function and the observation equation, it is very difficult to estimate the trajectory parameters according to the Bayes method. The Kalman Filter is often divergence. For rebuild of the trajectory, a approximate filter of condition rules with recursive formula which based on the Bayes method is put forward in the paper. It can estimate the state parameters of the system exactly. The simulation demonstrates the divergence of estimation and accuracy problems for project can be solved by this approach.