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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...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2017
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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. |
format | Online Article Text |
id | pubmed-5422042 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
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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