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Performance Evaluation and Analysis for Gravity Matching Aided Navigation

Simulation tests were accomplished in this paper to evaluate the performance of gravity matching aided navigation (GMAN). Four essential factors were focused in this study to quantitatively evaluate the performance: gravity database (DB) resolution, fitting degree of gravity measurements, number of...

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Detalles Bibliográficos
Autores principales: Wu, Lin, Wang, Hubiao, Chai, Hua, Zhang, Lu, Hsu, Houtse, Wang, Yong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5422042/
https://www.ncbi.nlm.nih.gov/pubmed/28379178
http://dx.doi.org/10.3390/s17040769
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author Wu, Lin
Wang, Hubiao
Chai, Hua
Zhang, Lu
Hsu, Houtse
Wang, Yong
author_facet Wu, Lin
Wang, Hubiao
Chai, Hua
Zhang, Lu
Hsu, Houtse
Wang, Yong
author_sort Wu, Lin
collection PubMed
description Simulation tests were accomplished in this paper to evaluate the performance of gravity matching aided navigation (GMAN). Four essential factors were focused in this study to quantitatively evaluate the performance: gravity database (DB) resolution, fitting degree of gravity measurements, number of samples in matching, and gravity changes in the matching area. Marine gravity anomaly DB derived from satellite altimetry was employed. Actual dynamic gravimetry accuracy and operating conditions were referenced to design the simulation parameters. The results verified that the improvement of DB resolution, gravimetry accuracy, number of measurement samples, or gravity changes in the matching area generally led to higher positioning accuracies, while the effects of them were different and interrelated. Moreover, three typical positioning accuracy targets of GMAN were proposed, and the conditions to achieve these targets were concluded based on the analysis of several different system requirements. Finally, various approaches were provided to improve the positioning accuracy of GMAN.
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spelling pubmed-54220422017-05-12 Performance Evaluation and Analysis for Gravity Matching Aided Navigation Wu, Lin Wang, Hubiao Chai, Hua Zhang, Lu Hsu, Houtse Wang, Yong Sensors (Basel) Article Simulation tests were accomplished in this paper to evaluate the performance of gravity matching aided navigation (GMAN). Four essential factors were focused in this study to quantitatively evaluate the performance: gravity database (DB) resolution, fitting degree of gravity measurements, number of samples in matching, and gravity changes in the matching area. Marine gravity anomaly DB derived from satellite altimetry was employed. Actual dynamic gravimetry accuracy and operating conditions were referenced to design the simulation parameters. The results verified that the improvement of DB resolution, gravimetry accuracy, number of measurement samples, or gravity changes in the matching area generally led to higher positioning accuracies, while the effects of them were different and interrelated. Moreover, three typical positioning accuracy targets of GMAN were proposed, and the conditions to achieve these targets were concluded based on the analysis of several different system requirements. Finally, various approaches were provided to improve the positioning accuracy of GMAN. MDPI 2017-04-05 /pmc/articles/PMC5422042/ /pubmed/28379178 http://dx.doi.org/10.3390/s17040769 Text en © 2017 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
Wu, Lin
Wang, Hubiao
Chai, Hua
Zhang, Lu
Hsu, Houtse
Wang, Yong
Performance Evaluation and Analysis for Gravity Matching Aided Navigation
title Performance Evaluation and Analysis for Gravity Matching Aided Navigation
title_full Performance Evaluation and Analysis for Gravity Matching Aided Navigation
title_fullStr Performance Evaluation and Analysis for Gravity Matching Aided Navigation
title_full_unstemmed Performance Evaluation and Analysis for Gravity Matching Aided Navigation
title_short Performance Evaluation and Analysis for Gravity Matching Aided Navigation
title_sort performance evaluation and analysis for gravity matching aided navigation
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5422042/
https://www.ncbi.nlm.nih.gov/pubmed/28379178
http://dx.doi.org/10.3390/s17040769
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