自由段弹道目标跟踪算法在工程中的应用

Application of Free Trajectory Target Tracking Algorithm in Engineering

在对弹道目标跟踪预警的工程实践中,雷达系统对目标运动的信息处理速度尤为重要,因而,文章选取自适应跟踪模型与卡尔曼滤波相结合的方法解决自由段弹道目标的跟踪问题,并与扩展卡尔曼跟踪算法做了对比分析。仿真显示,2种滤波方式分别与自适应跟踪模型相结合后,卡尔曼滤波和扩展卡尔曼滤波跟踪性能相差不大,但其算法简单、运算时间短,可以较好满足自由段弹道目标跟踪的工程需求。

In the engineering practice of trajectory target tracking and warning,the processing speed of ballistic target is especially important for the radar system.Therefore,this paper selects the method combining adaptive tracking model with Kalman filter to solve the tracking problem of free-flight ballistic missile,and makes a comparative analysis with extended Kalman tracking algorithm.Simulation results show that the Kalman filtering could achieve almost the same filtering effect as the extended Kalman filtering when the two filtering methods were combined with the adaptive tracking model respectively,but the Kalman filtering algorithm was simple with short operation time,which could better meet the engineering requirements of free-flight ballistic missile tracking.