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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...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2018
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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. |
format | Online Article Text |
id | pubmed-6263975 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
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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