弹道目标被动段跟踪算法研究

Algorithm Research of Tracking Ballistic Target at Post-Boost Phase

围绕弹道导弹被动段跟踪问题,分析了被动段弹道目标的运动方式,在地心固定直角坐标系下建立了被动段弹道导弹运动模型;根据被动段弹道目标高速、高机动、强非线性的运动特点,采用基于"当前统计"模型的UKF滤波算法,实现了对弹道目标被动段的稳定精确跟踪。通过仿真试验,与传统的基于"当前统计"模型的EKF算法相比,该模型和滤波算法提高了对弹道目标的跟踪精度,尤其是对目标的速度和加速度估计,同时降低了对非线性系统跟踪发散的可能性。

On the problem of the ballistic missile post-boost phase tracking, the target motion of it is analyzed ; the dynamics model of ballistic missile during post-boost phase which is in the earth core Cartesian coordinate is established. According to the post-boost phase target motion character which is high-speed, high maneuverable and strong non-linear , the UKF algorithm based on the ＂CS＂ model is proposed. With this algorithm, it can achieve the steady and accurate tracking on the post-boost phase of the ballistic tracking. By the simulation results, comparing with the traditional EKF algorithm based on ＂CS＂ model, the proposed algorithm and dynamics model can enhance the tracking accurate, especially the estimation of the target＇ s velocity and acceleration are more evidence. Meanwhile, it can lower the probability of the divergence of the non-linear system tracking.