Cargando…

Using a SPATIAL INS/GNSS MEMS Unit to Detect Local Gravity Variations in Static and Mobile Experiments: First Results

In this study, we present the feasibility of using gravity measurements made with a small inertial navigation system (INS) during in situ experiments, and also mounted on an unmanned aerial vehicle (UAV), to recover local gravity field variations. The INS operated is the SPATIAL one developed by Adv...

Descripción completa

Detalles Bibliográficos
Autores principales: Beirens, Benjamin, Darrozes, José, Ramillien, Guillaume, Seoane, Lucia, Médina, Patrice, Durand, Pierre
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10460093/
https://www.ncbi.nlm.nih.gov/pubmed/37631597
http://dx.doi.org/10.3390/s23167060
_version_ 1785097568244465664
author Beirens, Benjamin
Darrozes, José
Ramillien, Guillaume
Seoane, Lucia
Médina, Patrice
Durand, Pierre
author_facet Beirens, Benjamin
Darrozes, José
Ramillien, Guillaume
Seoane, Lucia
Médina, Patrice
Durand, Pierre
author_sort Beirens, Benjamin
collection PubMed
description In this study, we present the feasibility of using gravity measurements made with a small inertial navigation system (INS) during in situ experiments, and also mounted on an unmanned aerial vehicle (UAV), to recover local gravity field variations. The INS operated is the SPATIAL one developed by Advanced Navigation, which has three-axis accelerometers. When the temperature bias is corrected, these types of INS are powerful enough to present the periodic signal corresponding to the solid Earth tides. There is also a clear correlation with the data measured at different altitudes by a CG5 gravimeter. However, these data were recorded on static points, so we also studied the INS in a moving platform on a UAV. Because there are a lot of vibrations recorded by the INS (wind, motor, on-board computer), the GPS and accelerometric data need to be filtered extensively. Once the data are corrected so they do not show thermal bias and low-pass filtered, we take the second derivative of the altitude (GPS) data to find the radial accelerometry of the drone and compare it to the radial accelerometry measured directly by the INS, in order to isolate the accelerometric signal that is related to the area that is being studied and the altitude. With a high enough precision, this method could be used to obtain the gravity variations due to the topography and density variations in the ground.
format Online
Article
Text
id pubmed-10460093
institution National Center for Biotechnology Information
language English
publishDate 2023
publisher MDPI
record_format MEDLINE/PubMed
spelling pubmed-104600932023-08-27 Using a SPATIAL INS/GNSS MEMS Unit to Detect Local Gravity Variations in Static and Mobile Experiments: First Results Beirens, Benjamin Darrozes, José Ramillien, Guillaume Seoane, Lucia Médina, Patrice Durand, Pierre Sensors (Basel) Article In this study, we present the feasibility of using gravity measurements made with a small inertial navigation system (INS) during in situ experiments, and also mounted on an unmanned aerial vehicle (UAV), to recover local gravity field variations. The INS operated is the SPATIAL one developed by Advanced Navigation, which has three-axis accelerometers. When the temperature bias is corrected, these types of INS are powerful enough to present the periodic signal corresponding to the solid Earth tides. There is also a clear correlation with the data measured at different altitudes by a CG5 gravimeter. However, these data were recorded on static points, so we also studied the INS in a moving platform on a UAV. Because there are a lot of vibrations recorded by the INS (wind, motor, on-board computer), the GPS and accelerometric data need to be filtered extensively. Once the data are corrected so they do not show thermal bias and low-pass filtered, we take the second derivative of the altitude (GPS) data to find the radial accelerometry of the drone and compare it to the radial accelerometry measured directly by the INS, in order to isolate the accelerometric signal that is related to the area that is being studied and the altitude. With a high enough precision, this method could be used to obtain the gravity variations due to the topography and density variations in the ground. MDPI 2023-08-09 /pmc/articles/PMC10460093/ /pubmed/37631597 http://dx.doi.org/10.3390/s23167060 Text en © 2023 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
Beirens, Benjamin
Darrozes, José
Ramillien, Guillaume
Seoane, Lucia
Médina, Patrice
Durand, Pierre
Using a SPATIAL INS/GNSS MEMS Unit to Detect Local Gravity Variations in Static and Mobile Experiments: First Results
title Using a SPATIAL INS/GNSS MEMS Unit to Detect Local Gravity Variations in Static and Mobile Experiments: First Results
title_full Using a SPATIAL INS/GNSS MEMS Unit to Detect Local Gravity Variations in Static and Mobile Experiments: First Results
title_fullStr Using a SPATIAL INS/GNSS MEMS Unit to Detect Local Gravity Variations in Static and Mobile Experiments: First Results
title_full_unstemmed Using a SPATIAL INS/GNSS MEMS Unit to Detect Local Gravity Variations in Static and Mobile Experiments: First Results
title_short Using a SPATIAL INS/GNSS MEMS Unit to Detect Local Gravity Variations in Static and Mobile Experiments: First Results
title_sort using a spatial ins/gnss mems unit to detect local gravity variations in static and mobile experiments: first results
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10460093/
https://www.ncbi.nlm.nih.gov/pubmed/37631597
http://dx.doi.org/10.3390/s23167060
work_keys_str_mv AT beirensbenjamin usingaspatialinsgnssmemsunittodetectlocalgravityvariationsinstaticandmobileexperimentsfirstresults
AT darrozesjose usingaspatialinsgnssmemsunittodetectlocalgravityvariationsinstaticandmobileexperimentsfirstresults
AT ramillienguillaume usingaspatialinsgnssmemsunittodetectlocalgravityvariationsinstaticandmobileexperimentsfirstresults
AT seoanelucia usingaspatialinsgnssmemsunittodetectlocalgravityvariationsinstaticandmobileexperimentsfirstresults
AT medinapatrice usingaspatialinsgnssmemsunittodetectlocalgravityvariationsinstaticandmobileexperimentsfirstresults
AT durandpierre usingaspatialinsgnssmemsunittodetectlocalgravityvariationsinstaticandmobileexperimentsfirstresults