现代防御技术 ›› 2020, Vol. 48 ›› Issue (3): 86-91.doi: 10.3969/j.issn.1009-086x.2020.03.014

• 探测跟踪技术 • 上一篇    下一篇

早期预警信息解算方法探究

汪东海1, 周智亮2, 刘伯阳2, 田志宇1   

  1. 1.中国人民解放军63611部队,新疆 库尔勒 841000;
    2.中国人民解放军63610部队,新疆 库尔勒 841000
  • 收稿日期:2019-02-18 修回日期:2019-11-15 出版日期:2020-06-20 发布日期:2021-01-20
  • 作者简介:汪东海(1978-),男,江苏徐州人。工程师,学士,主要从事数据处理及软件开发。通信地址:841000 新疆库尔勒市新城南路232号 E-mail:704406138@qq.com

Study on Treatment Methods of Early Warning Information

WANG Dong-hai1, ZHOU Zhi-liang2, LIU Bo-yang2, TIAN Zhi-yu1   

  1. 1. PLA,No.63611 Troop,Xinjiang Korla 841000,China;
    2. PLA,No.63610 Troop,Xinjiang Korla 841000,China
  • Received:2019-02-18 Revised:2019-11-15 Online:2020-06-20 Published:2021-01-20

摘要: 针对早期预警雷达跟踪数据可以提取早期预警信息以及处理方法仍不明确,提出早期预警信息可以包含的要素,并根据要素的特性给出数据处理过程和数据处理方法,在导弹武器试验中得到了初步检验,为日后进一步积累数据处理经验,及对预警系统建设有一定指导意义。

关键词: 发射点, 落点, 当前统计模型, 不敏感卡尔曼滤波, 龙格-库塔积分, 导弹关机状态

Abstract: For the problem that the elements of early warning information and the information extracting methods of from raw radar data captured by early warning radar are uncertain,the elements that can be included in the early warning information are put forward,and the data processing method with the characteristics of the elements is given.The proposed method was tested in the missile weapon test,which have certain guiding significance to further data accumulate and the construction of the early warning system.

Key words: launch point, point of fall, current statistical model, unscented Kalman filter, Runge-Kutta methods, state of missile shutting down

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