现代防御技术 ›› 2020, Vol. 48 ›› Issue (5): 1-9.doi: 10.3969/j.issn.1009-086x.2020.05.001

• 特约稿 •    下一篇

一种雷达导引头天线罩斜率误差实时估计方法

周荻1, 李君龙2, 袁宇祺1   

  1. 1.哈尔滨工业大学 控制工程系,黑龙江 哈尔滨 150001;
    2.北京电子工程总体所,北京 100854
  • 收稿日期:2020-07-01 修回日期:2020-09-08 出版日期:2020-10-20 发布日期:2020-10-22
  • 基金资助:
    国家自然科学基金(61773142)

An Real-time Estimation Algorithm for Slope Error of Radome of Radar Seeker

ZHOU Di1, LI Jun-long2, YUAN Yu-qi1   

  1. 1. Harbin Institute of Technology, Dept. Control Engineering, Heilongjiang Harbin 150001, China;
    2. Beijing Institute of Electronic Engineering, Beijing 100854, China
  • Received:2020-07-01 Revised:2020-09-08 Online:2020-10-20 Published:2020-10-22

摘要: 首先建立了完整的考虑导引头天线罩误差斜率的目标-导弹相对运动问题数学描述,包括非线性的状态方程和测量方程。其次,简化得到纵向通道考虑天线罩误差斜率的目标-导弹相对运动数学模型,推导出纵向通道联合估计视线角速率和天线罩误差斜率的数学模型,证明了上述数学模型对应的视线角速率和天线罩误差斜率联合观测系统的可观性。最后,设计了纵向通道和侧向通道联合估计视线角速率和天线罩误差斜率的推广Kalman滤波器。在仿真实验中应用该滤波器,与不考虑天线罩误差斜率的视线角速率估计Kalman滤波器做了仿真对比。仿真结果表明,联合估计视线角速率和天线罩误差斜率的推广Kalman滤波器的效果很好,可以显著提高天线罩误差斜率情况下的制导精度。

关键词: 雷达导引头, 天线罩误差, 联合估计器, 推广Kalman滤波

Abstract: Firstly, a complete mathematical description of target missile relative motion problem, which consider the slope error of seeker radome is established,including nonlinear state equation and measurement equation.Secondly,the simplified mathematical model of target missile relative motion considering radome error slope in the elevation channel isgiven,and the mathematical model of joint estimation of line-of-sight rate and radome error slope in the elevation channel is derived.The observability of the joint observation system of line-of-sight rate and radome error slope corresponding to the above mathematical model is proved.Finally,an extended Kalman filter is designed to estimate the line-of-sight rate and radome error slope in the elevation loop and azimuth loop,respectively.The filters are applied in the simulation experiments and compared with the Kalman filter of line-of-sight rate estimation without considering the error slope of radome.The simulation results show that the extended Kalman filter with joint estimation of line-of-sight rate and radome error slope is effective,since it can significantly improve the guidance accuracy of a guidance system with radome error slope.

Key words: radar seeker, slope error, joint estimator, extended Kalman filter

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