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深空自主导航系统的可观性分析
引用本文:黄翔宇,崔平远,崔祜涛.深空自主导航系统的可观性分析[J].宇航学报,2006,27(3):332-337,358.
作者姓名:黄翔宇  崔平远  崔祜涛
作者单位:1. 北京控制工程研究所北京2729信箱20分箱,北京,100080
2. 哈尔滨工业大学137信箱,哈尔滨,150001
基金项目:民用航天科研基金;国家高技术研究发展计划(863计划)
摘    要:研究了深空自主导航系统的可观性分析。建立了自主导航系统的观测模型,并提出了一种基于位置确定分析和可观性秩条件的导航系统可观性分析方法;该方法克服了直接利用多个导航目标的视线方向、视线角、夹角和图像信息等非线性观测量进行导航系统可观性分析的困难。针对观测矩阵的秩无法通过表达式直接确定的问题。给出了基于观测矩阵奇异值分解的导航系统可观性分析方法,并用来分析了几种观测模式对应的导航系统的可观性和轨道参数可观度。可以为在不同轨道段组合不同的敏感器提高轨道的估计精度提供参考。

关 键 词:自主导航  观测模型  非线性系统  可观性分析
文章编号:1000-1328(2006)03-0332-06
收稿时间:2005-05-27
修稿时间:2005-05-272006-03-06

Observability Analysis of Deep Space Autonomous Navigation System
HUANG Xiang-yu,CUI Ping-yuan,CUI Hu-tao.Observability Analysis of Deep Space Autonomous Navigation System[J].Journal of Astronautics,2006,27(3):332-337,358.
Authors:HUANG Xiang-yu  CUI Ping-yuan  CUI Hu-tao
Institution:1. P. O. Box 2729-20, Beijing Institute of Control Engineering, Beijing 100080, China ;2. P. O. Box 137, Harbin Institute of Technology, Harbin, Heilongjiang Province 150001, China
Abstract:This paper studied the observability analysis of deep space autonomous navigation.The paper built the observation models of autonomous navigation and presented the observability analysis method of autonomous navigation system based on the position determination analysis and the observability rank condition.The method can overcome the observability analysis difficulty of autonomous navigation for LOS vector,LOS angles,separation angles and images and such nonlinear measurements.For the difficulty of determining directly its rank by using the maths expression of observation matrix,the observability analysis method of autonomous navigation system based on the singular value decomposition of observability matrix was given and was used to analyze the observability of navigation system corresponding to some observation modes and the observability degree of orbit parameters.These can provide the reference the combination of various sensors in the different orbit phases to improve the estimation precision of orbit.
Keywords:Autonomous navigation  Observation model  Nonlinear system  Observability analysis
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