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自由段弹道目标跟踪算法在工程中的应用
引用本文:李启飞,吴芳,范赵鹏.自由段弹道目标跟踪算法在工程中的应用[J].海军航空工程学院学报,2020,35(1):129-134.
作者姓名:李启飞  吴芳  范赵鹏
作者单位:91550部队,辽宁大连116000,海军航空大学,山东烟台264001,91001部队,北京100000
摘    要: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。

关 键 词:弹道目标跟踪  卡尔曼滤波  自适应模型

Application of Free Trajectory Target Tracking Algorithm in Engineering
LI Qifei,WU Fang,FAN Zhaopeng.Application of Free Trajectory Target Tracking Algorithm in Engineering[J].Journal of Naval Aeronautical Engineering Institute,2020,35(1):129-134.
Authors:LI Qifei  WU Fang  FAN Zhaopeng
Institution:The 91550th Unit of PLA, Dalian Liaoning 116000, China,Naval Aviation University, Yantai Shandong 264001, China and The 91001st Unit of PLA, Beijing 100000, China
Abstract:In the engineering practice of trajectory target tracking and warning, the processing speed of ballistic target is es?pecially important for the radar system. Therefore, this paper selects the method combining adaptive tracking model withKalman filter to solve the tracking problem of free-flight ballistic missile, and makes a comparative analysis with extendedKalman tracking algorithm. Simulation results show that the Kalman filtering could achieve almost the same filtering effectas the extended Kalman filtering when the two filtering methods were combined with the adaptive tracking model respec?tively, but the Kalman filtering algorithm was simple with short operation time, which could better meet the engineering re?quirements of free-flight ballistic missile tracking.
Keywords:ballistic missile tracking  Kalman filtering  adaptive tracking model
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