多源信息融合卫星组合导航系统的可观度分析  

Observability Analysis of Satellite Integrated Navigation System with Multi-source Information Fusion

作　　者：乔怡群 邱红专[1] 宋华[1] QIAO Yi-qun;QIU Hong-zhuan;SONG Hua(School of Automation Science and Electrical Engineering,Beihang University,Beijing 100083,China)

机构地区：[1]北京航空航天大学自动化科学与电气工程学院,北京100083

出　　处：《导航定位与授时》2021年第1期82-89,共8页Navigation Positioning and Timing

摘　　要：针对基于GNSS卫星、地标矢量和星光矢量的多源信息融合的高轨卫星组合导航系统,分别利用系统可观度分析方法和状态可观度分析方法对其进行分析。仿真结果表明:在GNSS导航卫星不可见时,地标矢量和星光矢量可以有效地提供测量信息,并保证滤波器的稳定。可观度分析结果表明:系统可观度主要受GNSS导航星的可见星数目影响较大,地标矢量和星光矢量的引入有助于提高可观度;基于状态的可观度可以大致反映出滤波器每个状态的误差大小。The integrated navigation system is analyzed by using system observability analysis method and state observability analysis method respectively for the multi-source information fusion of high orbit satellite integrated navigation system based on GNSS satellite, landmarks vectors and star-lights vectors. The simulation results show that landmarks vectors and star-lights vectors can effectively provide measurement information and ensure the stability of the filter when GNSS navigation satellites are not visible. The observability analysis results show that system observability is mainly affected by the visibility of GNSS navigation star, and the introduction of landmark vectors and starlight vectors is helpful to improve the observability. The state-based observability can roughly reflect the filtering precision.

关 键 词：卫星自主导航 KALMAN滤波 可观度分析 SVD 

分 类 号：TP701[自动化与计算机技术—检测技术与自动化装置]