基于衰减记忆算法的弹道参数滤波方法

A METHOD OF FILTERING WITH TRAJECTORY PARAMETER BASE ON ATTENUATING MEMORY

为克服广义卡尔曼滤波发散现象,提出了一种基于衰减记忆算法的弹道参数滤波方法.通过弹道质心运动模型,结合弹道测试数据对弹道参数进行滤波,结果表明,此方法的辨识精度较高,收敛性好.

To solve the problem of divergent in Kalman filtering, we present a method of identifying trajectory parameter based on generalized Kalman filtering attenuating memory algorithm. Filter the trajectory parameter with the model of trajectory centroid motion and the data of trajectory testing. This method can make the result with the higher identifying accuracy and better convergence with the method than before.