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Frequency Domain Analysis of Partial-Tensor Rotating Accelerometer Gravity Gradiometer
The output model of a rotating accelerometer gravity gradiometer (RAGG) established by the inertial dynamics method cannot reflect the change of signal frequency, and calibration sensitivity and self-gradient compensation effect for the RAGG is a very important stage in the development process that...
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/PMC7967201/ https://www.ncbi.nlm.nih.gov/pubmed/33803485 http://dx.doi.org/10.3390/s21051925 |
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author | Qian, Xuewu Zhao, Liye Liu, Weiming Sun, Jianqiang |
author_facet | Qian, Xuewu Zhao, Liye Liu, Weiming Sun, Jianqiang |
author_sort | Qian, Xuewu |
collection | PubMed |
description | The output model of a rotating accelerometer gravity gradiometer (RAGG) established by the inertial dynamics method cannot reflect the change of signal frequency, and calibration sensitivity and self-gradient compensation effect for the RAGG is a very important stage in the development process that cannot be omitted. In this study, a model based on the outputs of accelerometers on the disc of RGAA is established to calculate the gravity gradient corresponding to the distance, through the study of the RAGG output influenced by a surrounding mass in the frequency domain. Taking particle, sphere, and cuboid as examples, the input-output models of gravity gradiometer are established based on the center gradient and four accelerometers, respectively. Simulation results show that, if the scale factors of the four accelerometers on the disk are the same, the output signal of the RAGG only contains [Formula: see text] ([Formula: see text] is the spin frequency of disc for RAGG) harmonic components, and its amplitude is related to the orientation of the surrounding mass. Based on the results of numerical simulation of the three models, if the surrounding mass is close to the RAGG, the input-output models of gravity gradiometer are more accurate based on the four accelerometers. Finally, some advantages and disadvantages of cuboid and sphere are compared and some suggestions related to calibration and self-gradient compensation are given. |
format | Online Article Text |
id | pubmed-7967201 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-79672012021-03-18 Frequency Domain Analysis of Partial-Tensor Rotating Accelerometer Gravity Gradiometer Qian, Xuewu Zhao, Liye Liu, Weiming Sun, Jianqiang Sensors (Basel) Article The output model of a rotating accelerometer gravity gradiometer (RAGG) established by the inertial dynamics method cannot reflect the change of signal frequency, and calibration sensitivity and self-gradient compensation effect for the RAGG is a very important stage in the development process that cannot be omitted. In this study, a model based on the outputs of accelerometers on the disc of RGAA is established to calculate the gravity gradient corresponding to the distance, through the study of the RAGG output influenced by a surrounding mass in the frequency domain. Taking particle, sphere, and cuboid as examples, the input-output models of gravity gradiometer are established based on the center gradient and four accelerometers, respectively. Simulation results show that, if the scale factors of the four accelerometers on the disk are the same, the output signal of the RAGG only contains [Formula: see text] ([Formula: see text] is the spin frequency of disc for RAGG) harmonic components, and its amplitude is related to the orientation of the surrounding mass. Based on the results of numerical simulation of the three models, if the surrounding mass is close to the RAGG, the input-output models of gravity gradiometer are more accurate based on the four accelerometers. Finally, some advantages and disadvantages of cuboid and sphere are compared and some suggestions related to calibration and self-gradient compensation are given. MDPI 2021-03-09 /pmc/articles/PMC7967201/ /pubmed/33803485 http://dx.doi.org/10.3390/s21051925 Text en © 2021 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 Qian, Xuewu Zhao, Liye Liu, Weiming Sun, Jianqiang Frequency Domain Analysis of Partial-Tensor Rotating Accelerometer Gravity Gradiometer |
title | Frequency Domain Analysis of Partial-Tensor Rotating Accelerometer Gravity Gradiometer |
title_full | Frequency Domain Analysis of Partial-Tensor Rotating Accelerometer Gravity Gradiometer |
title_fullStr | Frequency Domain Analysis of Partial-Tensor Rotating Accelerometer Gravity Gradiometer |
title_full_unstemmed | Frequency Domain Analysis of Partial-Tensor Rotating Accelerometer Gravity Gradiometer |
title_short | Frequency Domain Analysis of Partial-Tensor Rotating Accelerometer Gravity Gradiometer |
title_sort | frequency domain analysis of partial-tensor rotating accelerometer gravity gradiometer |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7967201/ https://www.ncbi.nlm.nih.gov/pubmed/33803485 http://dx.doi.org/10.3390/s21051925 |
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