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Quasi-consistent fusion navigation algorithm for DSS
Su, Qiya1; Huang, Yi1,2; Jiang, Yanguang3; Fang, Haitao1,2
AbstractA fusion navigation algorithm for the distributed satellites system (DSS) utilizing relative range measurements is proposed in this paper. Based on the quasi-consistent extended Kalman filter (QCEKF), an on-line evaluation of the navigation precision can be provided by the fusion navigation algorithm. In addition, the upper bound for the estimation error obtained from the fusion navigation algorithm is lower than those with any groups of measurements, which indicates that the fusion navigation algorithm can automatically choose the suitable redundant measurements to improve the navigation precision. The simulations show the feasibility and effectiveness of the proposed fusion navigation algorithm.
Keywordquasi-consistent extended Kalman filter (QCEKF) extended Kalman filter (EKF) fusion algorithm navigation distributed satellites system (DSS)
Funding ProjectNational Basic Research Program of China (973 Program)[2014CB845303] ; National Center for Mathematics and Interdisciplinary Sciences, Chinese Academy of Sciences
WOS Research AreaComputer Science
WOS SubjectComputer Science, Information Systems
WOS IDWOS:000409915100005
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Document Type期刊论文
Corresponding AuthorSu, Qiya
Affiliation1.Chinese Acad Sci, Acad Math & Syst Sci, Key Lab Syst & Control, Beijing 100190, Peoples R China
2.Univ Chinese Acad Sci, Sch Math Sci, Beijing 100049, Peoples R China
3.Beijing Inst Control & Elect Technol, Beijing 100038, Peoples R China
Recommended Citation
GB/T 7714
Su, Qiya,Huang, Yi,Jiang, Yanguang,et al. Quasi-consistent fusion navigation algorithm for DSS[J]. SCIENCE CHINA-INFORMATION SCIENCES,2018,61(1):17.
APA Su, Qiya,Huang, Yi,Jiang, Yanguang,&Fang, Haitao.(2018).Quasi-consistent fusion navigation algorithm for DSS.SCIENCE CHINA-INFORMATION SCIENCES,61(1),17.
MLA Su, Qiya,et al."Quasi-consistent fusion navigation algorithm for DSS".SCIENCE CHINA-INFORMATION SCIENCES 61.1(2018):17.
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