Student’s It/I-Kernel-Based Maximum Correntropy Kalman Filter
Student’s It/I-Kernel-Based Maximum Correntropy Kalman Filter
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Publisher
MDPI AG
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Language
English
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MDPI AG
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The state estimation problem is ubiquitous in many fields, and the common state estimation method is the Kalman filter. However, the Kalman filter is based on the mean square error criterion, which can only capture the second-order statistics of the noise and is sensitive to large outliers. In many areas of engineering, the noise may be non-Gaussia...
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Full title
Student’s It/I-Kernel-Based Maximum Correntropy Kalman Filter
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TN_cdi_gale_infotracacademiconefile_A781292523
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_gale_infotracacademiconefile_A781292523
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ISSN
1424-8220
E-ISSN
1424-8220
DOI
10.3390/s22041683
