航空学报 > 2014, Vol. 35 Issue (1): 105-115   doi: 10.7527/S1000-6893.2013.0269

基于预警卫星系统的临近空间飞行器跟踪

李罗钢, 荆武兴, 高长生   

  1. 哈尔滨工业大学 航天学院, 黑龙江 哈尔滨 150001
  • 收稿日期:2013-02-01 修回日期:2013-05-23 出版日期:2014-01-25 发布日期:2013-08-16
  • 通讯作者: 高长生,Tel.:0451-86418233 E-mail:corturb@126.com E-mail:corturb@126.com
  • 作者简介:李罗钢 男,博士研究生。主要研究方向:导弹攻防对抗技术。Tel:0451-86418233 E-mail:llg0315@sina.com;荆武兴 男,博士,教授,博士生导师。主要研究方向:飞行器动力学。Tel:0451-86418233 E-mail:jingwuxing@hit.edu.cn;高长生 男,博士,副教授。主要研究方向:飞行器动力学。Tel:0451-86418233 E-mail:corturb@126.com

Tracking Near Space Vehicle Using Early-warning Satellite

LI Luogang, JING Wuxing, GAO Changsheng   

  1. Department of Aerospace Engineering, Harbin Institute of Technology, Harbin 150001, China
  • Received:2013-02-01 Revised:2013-05-23 Online:2014-01-25 Published:2013-08-16

摘要:

系统地研究了如何对临近空间飞行器进行有效实时跟踪的问题,并提出了一种基于约束总体最小二乘与自适应交互式多模型(CTLS-AIMM)滤波相结合的实时跟踪滤波算法。首先考虑到临近空间飞行器的特点,选择使用红外预警卫星系统探测目标飞行器,并使用约束总体最小二乘算法(CTLS)对目标进行粗定位;然后在粗定位信息基础上,使用自适应交互式多模型滤波算法(AIMM)对目标飞行器进行实时跟踪。在AIMM中,根据临近空间飞行器机动特性,合理选择目标模型集,并使用迭代最小二乘算法对模型参数进行自适应调整。通过仿真,验证了该跟踪滤波算法的可行性。

关键词: 预警卫星, 跟踪, 临近空间飞行器, 约束总体最小二乘, 自适应交互式多模型

Abstract:

An algorithm based on a constrained total least squares combining adaptive interactive multiple model (CTLS-AIMM) is developed for the tracking of near space vehicles. First, taking near space vehicle characteristics into consideration, an early-warning satellite system is used to detect the target, and a constrained total least squares algorithm (CTLS) is used to calculate the pseudo position information roughly, based on which an adaptive interactive multiple model (AIMM) algorithm is developed for the real-time tracking. In the AIMM algorithm, appropriate model-sets are selected according to the characteristics of a near space vehicle, to describe the target motion, and iterative least square is used to calculate the adaptive parameters. A hypothetical scenario is taken as a testing case, and computer simulations show the effectiveness of the methods.

Key words: early-warning satellite, tracking, near space vehicle, constrained total least squares, adaptive interactive multiple model

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