Maximum Correntropy Unscented Kalman Filter for Spacecraft Relative State Estimation
Maximum Correntropy Unscented Kalman Filter for Spacecraft Relative State Estimation
About this item
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Author / Creator
Liu, Xi , Qu, Hua , Zhao, Jihong , Yue, Pengcheng and Wang, Meng
Publisher
Switzerland: MDPI
Journal title
Language
English
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Publication information
Publisher
Switzerland: MDPI
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Scope and Contents
Contents
A new algorithm called maximum correntropy unscented Kalman filter (MCUKF) is proposed and applied to relative state estimation in space communication networks. As is well known, the unscented Kalman filter (UKF) provides an efficient tool to solve the non-linear state estimate problem. However, the UKF usually plays well in Gaussian noises. Its pe...
Alternative Titles
Full title
Maximum Correntropy Unscented Kalman Filter for Spacecraft Relative State Estimation
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Author / Creator
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Record Identifier
TN_cdi_doaj_primary_oai_doaj_org_article_0b1aaa557cff4777b14fa8b12e357f72
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_0b1aaa557cff4777b14fa8b12e357f72
Other Identifiers
ISSN
1424-8220
E-ISSN
1424-8220
DOI
10.3390/s16091530
