Maximum Likelihood-Based Measurement Noise Covariance Estimation Using Sequential Quadratic Programm...
Maximum Likelihood-Based Measurement Noise Covariance Estimation Using Sequential Quadratic Programming for Cubature Kalman Filter Applied in INS/BDS Integration
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Full title
Author / Creator
Gao, Bingbing , Hu, Gaoge , Li, Wenmin , Zhao, Yan and Zhong, Yongmin
Publisher
New York: Hindawi
Journal title
Language
English
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Publication information
Publisher
New York: Hindawi
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Scope and Contents
Contents
With the completion of the Beidou-3 system (BDS) in China, INS/BDS integration will become a promising navigation and positioning strategy. However, due to the nonlinear propagation characteristic of INS error and inevitable involvement of inaccurate measurement noise statistics, it is difficult to achieve the optimal solution through the INS/BDS i...
Alternative Titles
Full title
Maximum Likelihood-Based Measurement Noise Covariance Estimation Using Sequential Quadratic Programming for Cubature Kalman Filter Applied in INS/BDS Integration
Authors, Artists and Contributors
Author / Creator
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Record Identifier
TN_cdi_proquest_journals_2480125570
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2480125570
Other Identifiers
ISSN
1024-123X
E-ISSN
1563-5147
DOI
10.1155/2021/9383678
