基于容积卡尔曼滤波的中段弹头跟踪方法

Tracking for midcourse warhead based on cubature Kalman filtering

针对弹道导弹中段跟踪精度要求高问题,采用了针对弹头非线性特征运动的滤波算法进行精确跟踪,提出了基于容积卡尔曼滤波的精确目标跟踪方法.仿真结果验证了所提方法的有效性.仿真结果表明,与被广泛应用的去偏转换卡尔曼滤波方法、扩展卡尔曼滤波方法、不敏卡尔曼滤波方法相比,所提方法具有更高的跟踪精度,在处理空间目标复杂非线性运动问题的过程中具有更好的稳定性.

Aiming at the problem of the high requirements for the precision of midcourse tracking of ballistic missile, this paper carrys on a accurate tracking by employing the filtering algorithm of targeting the warhead’s non-linear eigen-motion, and comes up with the method for accurate target tracking based on cubature Kalman filtering （CKF）. Simulation results prove this proposed method to be of effectiveness. It is shown that this proposed method is of higher tracking accuracy and better stability in the process of processing the complex non-linear motion of space target, compared with those used widely, including the debiased converted measurement Kalman filtering, the extended Kalman filtering and the unscented Kalman filter.