现代防御技术 ›› 2022, Vol. 50 ›› Issue (5): 1-7.doi: 10.3969/j.issn.1009-086x.2022.05.001

• 特约稿 •    下一篇

基于UKF的大气层外飞行器光学卫星跟踪滤波方法

唐毓燕1, 江涌2   

  1. 1.北京电子工程总体研究所,北京 100854
    2.中国航天科工防御技术研究院,北京 100854
  • 收稿日期:2022-09-13 修回日期:2022-09-28 出版日期:2022-10-28 发布日期:2022-11-03
  • 作者简介:唐毓燕(1975-),中国航天第二研究院博士毕业,研究员。长期从事先进防御系统设计与研制工作,持续开展目标探测跟踪与识别技术研究,具有丰富的工程研制经验与扎实的系统技术基础。|江涌(1963-),中国科学院院士,航天工业部二院自控理论及应用专业研究生毕业,现任中国航天科工防御技术研究院技术负责人,研究员。长期从事飞行器总体及制导技术研究,主持多型先进防御装备研制,获国家科技进步特等奖及一等奖,何梁何利基金科学与技术进步奖。

An Approach of Optical Satellites Tracking an Extraatmospheric Vehicle Based on UKF

Yu-yan TANG1, Yong JIANG2   

  1. 1.Beijing Institute of Electronic System Engineering,Beijing 100854,China
    2.The Defense Technology Research Academy of China Aerospace Science & Industry Corporation,Beijing 100854,China
  • Received:2022-09-13 Revised:2022-09-28 Online:2022-10-28 Published:2022-11-03

摘要:

结合飞行器技术与探测跟踪技术的快速发展,针对飞行器星座探测跟踪应用背景,提出了一种基于UKF的大气层外飞行器光学卫星跟踪滤波方法,解决了合理观测距离情况下对大气层外飞行器光学卫星高精度跟踪与30 s内速度估计误差快速收敛问题,仿真验证了算法的有效性及相较于EKF滤波一定程度的优越性。

关键词: 光学卫星, UKF滤波, 大气层外飞行器

Abstract:

With the rapid growth of the technologies of vehicles and tracking, this paper proposes an approach of optical satellites tracking an extraatmospheric vehicle based on unscented Kalman filter (UKF) under the background of satellite constellation tracking vehicles. It solves the problem of optical satellites tracking an extraatmospheric vehicle accurately and velocity estimation error converging rapidly within 30 s in the case of reasonable observation distance. The validity of this algorithm and relative superiority to EKF are verified by simulation.

Key words: optical satellites, unscented Kalman filter(UKF), extraatmospheric vehicle

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