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Localization of an Underwater Control Network Based on Quasi-Stable Adjustment

There exists a common problem in the localization of underwater control networks that the precision of the absolute coordinates of known points obtained by marine absolute measurement is poor, and it seriously affects the precision of the whole network in traditional constraint adjustment. Therefore...

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Detalles Bibliográficos
Autores principales: Zhao, Jianhu, Chen, Xinhua, Zhang, Hongmei, Feng, Jie
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5948844/
https://www.ncbi.nlm.nih.gov/pubmed/29570627
http://dx.doi.org/10.3390/s18040950
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author Zhao, Jianhu
Chen, Xinhua
Zhang, Hongmei
Feng, Jie
author_facet Zhao, Jianhu
Chen, Xinhua
Zhang, Hongmei
Feng, Jie
author_sort Zhao, Jianhu
collection PubMed
description There exists a common problem in the localization of underwater control networks that the precision of the absolute coordinates of known points obtained by marine absolute measurement is poor, and it seriously affects the precision of the whole network in traditional constraint adjustment. Therefore, considering that the precision of underwater baselines is good, we use it to carry out quasi-stable adjustment to amend known points before constraint adjustment so that the points fit the network shape better. In addition, we add unconstrained adjustment for quality control of underwater baselines, the observations of quasi-stable adjustment and constrained adjustment, to eliminate the unqualified baselines and improve the results’ accuracy of the two adjustments. Finally, the modified method is applied to a practical LBL (Long Baseline) experiment and obtains a mean point location precision of 0.08 m, which improves by 38% compared with the traditional method.
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spelling pubmed-59488442018-05-17 Localization of an Underwater Control Network Based on Quasi-Stable Adjustment Zhao, Jianhu Chen, Xinhua Zhang, Hongmei Feng, Jie Sensors (Basel) Article There exists a common problem in the localization of underwater control networks that the precision of the absolute coordinates of known points obtained by marine absolute measurement is poor, and it seriously affects the precision of the whole network in traditional constraint adjustment. Therefore, considering that the precision of underwater baselines is good, we use it to carry out quasi-stable adjustment to amend known points before constraint adjustment so that the points fit the network shape better. In addition, we add unconstrained adjustment for quality control of underwater baselines, the observations of quasi-stable adjustment and constrained adjustment, to eliminate the unqualified baselines and improve the results’ accuracy of the two adjustments. Finally, the modified method is applied to a practical LBL (Long Baseline) experiment and obtains a mean point location precision of 0.08 m, which improves by 38% compared with the traditional method. MDPI 2018-03-23 /pmc/articles/PMC5948844/ /pubmed/29570627 http://dx.doi.org/10.3390/s18040950 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
Zhao, Jianhu
Chen, Xinhua
Zhang, Hongmei
Feng, Jie
Localization of an Underwater Control Network Based on Quasi-Stable Adjustment
title Localization of an Underwater Control Network Based on Quasi-Stable Adjustment
title_full Localization of an Underwater Control Network Based on Quasi-Stable Adjustment
title_fullStr Localization of an Underwater Control Network Based on Quasi-Stable Adjustment
title_full_unstemmed Localization of an Underwater Control Network Based on Quasi-Stable Adjustment
title_short Localization of an Underwater Control Network Based on Quasi-Stable Adjustment
title_sort localization of an underwater control network based on quasi-stable adjustment
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5948844/
https://www.ncbi.nlm.nih.gov/pubmed/29570627
http://dx.doi.org/10.3390/s18040950
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