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The Concept of Using the Decision-Robustness Function in Integrated Navigation Systems
The diversity and non-uniformity of the positioning systems available in maritime navigation systems often impede the watchkeeping officer in the selection of the appropriate positioning system, in particular, in restricted basins. Thus, it is necessary to introduce a mathematical apparatus to sugge...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9413862/ https://www.ncbi.nlm.nih.gov/pubmed/36015918 http://dx.doi.org/10.3390/s22166157 |
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author | Czaplewski, Krzysztof Czaplewski, Bartosz |
author_facet | Czaplewski, Krzysztof Czaplewski, Bartosz |
author_sort | Czaplewski, Krzysztof |
collection | PubMed |
description | The diversity and non-uniformity of the positioning systems available in maritime navigation systems often impede the watchkeeping officer in the selection of the appropriate positioning system, in particular, in restricted basins. Thus, it is necessary to introduce a mathematical apparatus to suggest, in an automated manner, which of the available systems should be used at the given moment of a sea trip. Proper selection of the positioning system is particularly important in integrated navigation systems, in which the excess of navigation information may impede the final determinations. In this article, the authors propose the use of the decision-robustness function to assist in the process of selecting the appropriate positioning system and reduce the impact of navigation observations encumbered with large errors in self-positioning accuracy. The authors present a mathematical apparatus describing the decision function (a priori object), with the determination of decision-assistance criteria, and the robustness function (a posteriori object), with different types of attenuation function. In addition, the authors present a computer application integrating both objects in the decision-robustness function. The study was concluded by a test showing the practical application of the decision-robustness function proposed in the title. |
format | Online Article Text |
id | pubmed-9413862 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-94138622022-08-27 The Concept of Using the Decision-Robustness Function in Integrated Navigation Systems Czaplewski, Krzysztof Czaplewski, Bartosz Sensors (Basel) Article The diversity and non-uniformity of the positioning systems available in maritime navigation systems often impede the watchkeeping officer in the selection of the appropriate positioning system, in particular, in restricted basins. Thus, it is necessary to introduce a mathematical apparatus to suggest, in an automated manner, which of the available systems should be used at the given moment of a sea trip. Proper selection of the positioning system is particularly important in integrated navigation systems, in which the excess of navigation information may impede the final determinations. In this article, the authors propose the use of the decision-robustness function to assist in the process of selecting the appropriate positioning system and reduce the impact of navigation observations encumbered with large errors in self-positioning accuracy. The authors present a mathematical apparatus describing the decision function (a priori object), with the determination of decision-assistance criteria, and the robustness function (a posteriori object), with different types of attenuation function. In addition, the authors present a computer application integrating both objects in the decision-robustness function. The study was concluded by a test showing the practical application of the decision-robustness function proposed in the title. MDPI 2022-08-17 /pmc/articles/PMC9413862/ /pubmed/36015918 http://dx.doi.org/10.3390/s22166157 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/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 (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Czaplewski, Krzysztof Czaplewski, Bartosz The Concept of Using the Decision-Robustness Function in Integrated Navigation Systems |
title | The Concept of Using the Decision-Robustness Function in Integrated Navigation Systems |
title_full | The Concept of Using the Decision-Robustness Function in Integrated Navigation Systems |
title_fullStr | The Concept of Using the Decision-Robustness Function in Integrated Navigation Systems |
title_full_unstemmed | The Concept of Using the Decision-Robustness Function in Integrated Navigation Systems |
title_short | The Concept of Using the Decision-Robustness Function in Integrated Navigation Systems |
title_sort | concept of using the decision-robustness function in integrated navigation systems |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9413862/ https://www.ncbi.nlm.nih.gov/pubmed/36015918 http://dx.doi.org/10.3390/s22166157 |
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