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Gravity Compensation Using EGM2008 for High-Precision Long-Term Inertial Navigation Systems
The gravity disturbance vector is one of the major error sources in high-precision and long-term inertial navigation applications. Specific to the inertial navigation systems (INSs) with high-order horizontal damping networks, analyses of the error propagation show that the gravity-induced errors ex...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5191156/ https://www.ncbi.nlm.nih.gov/pubmed/27999351 http://dx.doi.org/10.3390/s16122177 |
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author | Wu, Ruonan Wu, Qiuping Han, Fengtian Liu, Tianyi Hu, Peida Li, Haixia |
author_facet | Wu, Ruonan Wu, Qiuping Han, Fengtian Liu, Tianyi Hu, Peida Li, Haixia |
author_sort | Wu, Ruonan |
collection | PubMed |
description | The gravity disturbance vector is one of the major error sources in high-precision and long-term inertial navigation applications. Specific to the inertial navigation systems (INSs) with high-order horizontal damping networks, analyses of the error propagation show that the gravity-induced errors exist almost exclusively in the horizontal channels and are mostly caused by deflections of the vertical (DOV). Low-frequency components of the DOV propagate into the latitude and longitude errors at a ratio of 1:1 and time-varying fluctuations in the DOV excite Schuler oscillation. This paper presents two gravity compensation methods using the Earth Gravitational Model 2008 (EGM2008), namely, interpolation from the off-line database and computing gravity vectors directly using the spherical harmonic model. Particular attention is given to the error contribution of the gravity update interval and computing time delay. It is recommended for the marine navigation that a gravity vector should be calculated within 1 s and updated every 100 s at most. To meet this demand, the time duration of calculating the current gravity vector using EGM2008 has been reduced to less than 1 s by optimizing the calculation procedure. A few off-line experiments were conducted using the data of a shipborne INS collected during an actual sea test. With the aid of EGM2008, most of the low-frequency components of the position errors caused by the gravity disturbance vector have been removed and the Schuler oscillation has been attenuated effectively. In the rugged terrain, the horizontal position error could be reduced at best 48.85% of its regional maximum. The experimental results match with the theoretical analysis and indicate that EGM2008 is suitable for gravity compensation of the high-precision and long-term INSs. |
format | Online Article Text |
id | pubmed-5191156 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-51911562017-01-03 Gravity Compensation Using EGM2008 for High-Precision Long-Term Inertial Navigation Systems Wu, Ruonan Wu, Qiuping Han, Fengtian Liu, Tianyi Hu, Peida Li, Haixia Sensors (Basel) Article The gravity disturbance vector is one of the major error sources in high-precision and long-term inertial navigation applications. Specific to the inertial navigation systems (INSs) with high-order horizontal damping networks, analyses of the error propagation show that the gravity-induced errors exist almost exclusively in the horizontal channels and are mostly caused by deflections of the vertical (DOV). Low-frequency components of the DOV propagate into the latitude and longitude errors at a ratio of 1:1 and time-varying fluctuations in the DOV excite Schuler oscillation. This paper presents two gravity compensation methods using the Earth Gravitational Model 2008 (EGM2008), namely, interpolation from the off-line database and computing gravity vectors directly using the spherical harmonic model. Particular attention is given to the error contribution of the gravity update interval and computing time delay. It is recommended for the marine navigation that a gravity vector should be calculated within 1 s and updated every 100 s at most. To meet this demand, the time duration of calculating the current gravity vector using EGM2008 has been reduced to less than 1 s by optimizing the calculation procedure. A few off-line experiments were conducted using the data of a shipborne INS collected during an actual sea test. With the aid of EGM2008, most of the low-frequency components of the position errors caused by the gravity disturbance vector have been removed and the Schuler oscillation has been attenuated effectively. In the rugged terrain, the horizontal position error could be reduced at best 48.85% of its regional maximum. The experimental results match with the theoretical analysis and indicate that EGM2008 is suitable for gravity compensation of the high-precision and long-term INSs. MDPI 2016-12-18 /pmc/articles/PMC5191156/ /pubmed/27999351 http://dx.doi.org/10.3390/s16122177 Text en © 2016 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, Ruonan Wu, Qiuping Han, Fengtian Liu, Tianyi Hu, Peida Li, Haixia Gravity Compensation Using EGM2008 for High-Precision Long-Term Inertial Navigation Systems |
title | Gravity Compensation Using EGM2008 for High-Precision Long-Term Inertial Navigation Systems |
title_full | Gravity Compensation Using EGM2008 for High-Precision Long-Term Inertial Navigation Systems |
title_fullStr | Gravity Compensation Using EGM2008 for High-Precision Long-Term Inertial Navigation Systems |
title_full_unstemmed | Gravity Compensation Using EGM2008 for High-Precision Long-Term Inertial Navigation Systems |
title_short | Gravity Compensation Using EGM2008 for High-Precision Long-Term Inertial Navigation Systems |
title_sort | gravity compensation using egm2008 for high-precision long-term inertial navigation systems |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5191156/ https://www.ncbi.nlm.nih.gov/pubmed/27999351 http://dx.doi.org/10.3390/s16122177 |
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