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基于低轨预警卫星测量数据的弹道重构与选星算法研究
引用本文:叶飚,曾占魁,冯刚,曹喜滨.基于低轨预警卫星测量数据的弹道重构与选星算法研究[J].上海航天,2014,31(1):7-11,62.
作者姓名:叶飚  曾占魁  冯刚  曹喜滨
作者单位:[1]上海宇航系统工程研究所,上海201109 [2]哈尔滨工业大学航天学院,黑龙江哈尔滨150001
摘    要:在低轨天基预警卫星(STSS)24星构型配置条件下,对弹道导弹ICBM全程飞行过程中可见预警卫星数多于2颗,用最小二乘几何弹道一次定位及扩展卡尔曼滤波(EKF)算法,提出了基于观测噪声估计方差最小的可见星最优选星原则。仿真结果表明:与不进行选星方式相比,用该选星原则进行弹道导弹弹道重构计算可满足在最小限度占用监视预警卫星资源条件下,获得更高的弹道重构精度。

关 键 词:低轨预警卫星  弹道重构  选星算法  最小二乘法  扩展卡尔曼滤波

Research on Trajectory Estimation and Selection Based on Observation Data of STSS
YE Biao,ZENG Zhan-kui,FENG Gang,CAO Xi-bin.Research on Trajectory Estimation and Selection Based on Observation Data of STSS[J].Aerospace Shanghai,2014,31(1):7-11,62.
Authors:YE Biao  ZENG Zhan-kui  FENG Gang  CAO Xi-bin
Institution:1. Aerospace System Engineering Shanghai, Shanghai 201109, Chinas 2. School of Aerospace, Harbin Institute of Technology, Harbin 150001, Heilongjiang, China)
Abstract:On the condition of space tracking and surveillance system (STSS) constellation made up of 24 satellites and more than two visible satellites on the full trajectory of intercontinental ballistic missile (ICBM), a method of optimal selecting visible satellites based on the least variance estimation of measurement noises, from the applying on the algorithm of the least square missile position estimation and extend Kalman filtering (EKF) was proposed in this paper. The simulation results showed that this method could attain higher precision of trajectory estimation than the non-selecting plan for the least occupying resource of STSS signal procession.
Keywords:Low-orbit early-warning satellite  Trajectory estimation  Algorithm of selection  The least squarealgorithm  Extend Kalman filtering
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