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Correntropy Based Divided Difference Filtering for the Positioning of Ships

In this paper, robust first and second-order divided difference filtering algorithms based on correntropy are proposed, which not only retain the advantages of divided difference filters, but also exhibit robustness in the presence of non-Gaussian noises, especially when the measurements are contami...

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Detalles Bibliográficos
Autores principales: Liu, Xi, Chen, Badong, Wang, Shiyuan, Du, Shaoyi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6263975/
https://www.ncbi.nlm.nih.gov/pubmed/30469453
http://dx.doi.org/10.3390/s18114080
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author Liu, Xi
Chen, Badong
Wang, Shiyuan
Du, Shaoyi
author_facet Liu, Xi
Chen, Badong
Wang, Shiyuan
Du, Shaoyi
author_sort Liu, Xi
collection PubMed
description In this paper, robust first and second-order divided difference filtering algorithms based on correntropy are proposed, which not only retain the advantages of divided difference filters, but also exhibit robustness in the presence of non-Gaussian noises, especially when the measurements are contaminated by heavy-tailed noises. The proposed filters are then applied to the problem of ship positioning. In order to improve the accuracy and reliability of ship positioning, the positioning method combines the Dead Reckoning (DR) algorithm and the Global Positioning System (GPS). Experimental results of an illustrative example show the superior performance of the new algorithms when applied to ship positioning.
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spelling pubmed-62639752018-12-12 Correntropy Based Divided Difference Filtering for the Positioning of Ships Liu, Xi Chen, Badong Wang, Shiyuan Du, Shaoyi Sensors (Basel) Article In this paper, robust first and second-order divided difference filtering algorithms based on correntropy are proposed, which not only retain the advantages of divided difference filters, but also exhibit robustness in the presence of non-Gaussian noises, especially when the measurements are contaminated by heavy-tailed noises. The proposed filters are then applied to the problem of ship positioning. In order to improve the accuracy and reliability of ship positioning, the positioning method combines the Dead Reckoning (DR) algorithm and the Global Positioning System (GPS). Experimental results of an illustrative example show the superior performance of the new algorithms when applied to ship positioning. MDPI 2018-11-21 /pmc/articles/PMC6263975/ /pubmed/30469453 http://dx.doi.org/10.3390/s18114080 Text en © 2018 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Liu, Xi
Chen, Badong
Wang, Shiyuan
Du, Shaoyi
Correntropy Based Divided Difference Filtering for the Positioning of Ships
title Correntropy Based Divided Difference Filtering for the Positioning of Ships
title_full Correntropy Based Divided Difference Filtering for the Positioning of Ships
title_fullStr Correntropy Based Divided Difference Filtering for the Positioning of Ships
title_full_unstemmed Correntropy Based Divided Difference Filtering for the Positioning of Ships
title_short Correntropy Based Divided Difference Filtering for the Positioning of Ships
title_sort correntropy based divided difference filtering for the positioning of ships
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6263975/
https://www.ncbi.nlm.nih.gov/pubmed/30469453
http://dx.doi.org/10.3390/s18114080
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