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High Accurate Mathematical Tools to Estimate the Gravity Direction Using Two Non-Orthogonal Inclinometers
This study provides two mathematical tools to best estimate the gravity direction when using a pair of non-orthogonal inclinometers whose measurements are affected by zero-mean Gaussian errors. These tools consist of: (1) the analytical derivation of the gravity direction expectation and its covaria...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8433952/ https://www.ncbi.nlm.nih.gov/pubmed/34502621 http://dx.doi.org/10.3390/s21175727 |
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author | Mortari, Daniele Gardner, Anthony |
author_facet | Mortari, Daniele Gardner, Anthony |
author_sort | Mortari, Daniele |
collection | PubMed |
description | This study provides two mathematical tools to best estimate the gravity direction when using a pair of non-orthogonal inclinometers whose measurements are affected by zero-mean Gaussian errors. These tools consist of: (1) the analytical derivation of the gravity direction expectation and its covariance matrix, and (2) a continuous description of the geoid model correction as a linear combination of a set of orthogonal surfaces. The accuracy of the statistical quantities is validated by extensive Monte Carlo tests and the application in an Extended Kalman Filter (EKF) has been included. The continuous geoid description is needed as the geoid represents the true gravity direction. These tools can be implemented in any problem requiring high-precision estimates of the local gravity direction. |
format | Online Article Text |
id | pubmed-8433952 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-84339522021-09-12 High Accurate Mathematical Tools to Estimate the Gravity Direction Using Two Non-Orthogonal Inclinometers Mortari, Daniele Gardner, Anthony Sensors (Basel) Article This study provides two mathematical tools to best estimate the gravity direction when using a pair of non-orthogonal inclinometers whose measurements are affected by zero-mean Gaussian errors. These tools consist of: (1) the analytical derivation of the gravity direction expectation and its covariance matrix, and (2) a continuous description of the geoid model correction as a linear combination of a set of orthogonal surfaces. The accuracy of the statistical quantities is validated by extensive Monte Carlo tests and the application in an Extended Kalman Filter (EKF) has been included. The continuous geoid description is needed as the geoid represents the true gravity direction. These tools can be implemented in any problem requiring high-precision estimates of the local gravity direction. MDPI 2021-08-25 /pmc/articles/PMC8433952/ /pubmed/34502621 http://dx.doi.org/10.3390/s21175727 Text en © 2021 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 Mortari, Daniele Gardner, Anthony High Accurate Mathematical Tools to Estimate the Gravity Direction Using Two Non-Orthogonal Inclinometers |
title | High Accurate Mathematical Tools to Estimate the Gravity Direction Using Two Non-Orthogonal Inclinometers |
title_full | High Accurate Mathematical Tools to Estimate the Gravity Direction Using Two Non-Orthogonal Inclinometers |
title_fullStr | High Accurate Mathematical Tools to Estimate the Gravity Direction Using Two Non-Orthogonal Inclinometers |
title_full_unstemmed | High Accurate Mathematical Tools to Estimate the Gravity Direction Using Two Non-Orthogonal Inclinometers |
title_short | High Accurate Mathematical Tools to Estimate the Gravity Direction Using Two Non-Orthogonal Inclinometers |
title_sort | high accurate mathematical tools to estimate the gravity direction using two non-orthogonal inclinometers |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8433952/ https://www.ncbi.nlm.nih.gov/pubmed/34502621 http://dx.doi.org/10.3390/s21175727 |
work_keys_str_mv | AT mortaridaniele highaccuratemathematicaltoolstoestimatethegravitydirectionusingtwononorthogonalinclinometers AT gardneranthony highaccuratemathematicaltoolstoestimatethegravitydirectionusingtwononorthogonalinclinometers |