A State Optimization Model Based on Kalman Filtering and Robust Estimation Theory for Fusion of Mult...
A State Optimization Model Based on Kalman Filtering and Robust Estimation Theory for Fusion of Multi-Source Information in Highly Non-linear Systems
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Publisher
Switzerland: MDPI
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English
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Switzerland: MDPI
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Consistent state estimation is a vital requirement in numerous real life applications from localization to multi-source information fusion. The Kalman filter and its variants have been successfully used for solving state estimation problems. Kalman filtering-based estimators are dependent upon system model assumptions. A deviation from defined assu...
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Full title
A State Optimization Model Based on Kalman Filtering and Robust Estimation Theory for Fusion of Multi-Source Information in Highly Non-linear Systems
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TN_cdi_doaj_primary_oai_doaj_org_article_84733a6d22154c69a4d1cbd83306ca46
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_84733a6d22154c69a4d1cbd83306ca46
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ISSN
1424-8220
E-ISSN
1424-8220
DOI
10.3390/s19071687
