Validation of Multi-Year Galileo Orbits Using Satellite Laser Ranging
Satellite laser ranging (SLR) observations provide an independent validation of the global navigation satellite system (GNSS) orbits derived using microwave measurements. SLR residuals have also proven to be an important indicator of orbit radial accuracy. In this study, SLR validation is conducted...
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2021
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oai:doaj.org-article:773afcde3ebd42ec8a9a5d2ab8be3bc42021-11-25T18:54:56ZValidation of Multi-Year Galileo Orbits Using Satellite Laser Ranging10.3390/rs132246342072-4292https://doaj.org/article/773afcde3ebd42ec8a9a5d2ab8be3bc42021-11-01T00:00:00Zhttps://www.mdpi.com/2072-4292/13/22/4634https://doaj.org/toc/2072-4292Satellite laser ranging (SLR) observations provide an independent validation of the global navigation satellite system (GNSS) orbits derived using microwave measurements. SLR residuals have also proven to be an important indicator of orbit radial accuracy. In this study, SLR validation is conducted for the precise orbits of eight Galileo satellites covering four to eight years (the current longest span), provided by multiple analysis centers (ACs) participating in the multi-GNSS experiment (MGEX). The purpose of this long-term analysis (the longest such study to date), is to provide a comprehensive evaluation of orbit product quality, its influencing factors, and the effect of perturbation model updates on precise orbit determination (POD) processing. A conventional ECOM solar radiation pressure (SRP) model was used for POD. The results showed distinct periodic variations with angular arguments in the SRP model, implying certain defects in the ECOM system. Updated SRP descriptions, such as ECOM2 or the Box-Wing model, led to significant improvements in SLR residuals for orbital products from multiple ACs. The standard deviation of these residuals decreased from 8–10 cm, before the SRP update, to about 3 cm afterward. The systematic bias of the residuals was also reduced by 2–4 cm and the apparent variability decreased significantly. In addition, the effects of gradual SRP model updates in the POD were evident in orbit comparisons. Orbital differences between ACs in the radial direction were reduced from the initial 10 cm to better than 3 cm, which is consistent with the results of SLR residual analysis. These results suggest SLR validation to be a powerful technique for evaluating the quality of POD strategies in GNSS orbits. Furthermore, this study has demonstrated that perturbation models, such as SRP, provide a better orbit modeling for the Galileo satellites.Enzhe TaoNannan GuoKexin XuBin WangXuhua ZhouMDPI AGarticlemulti-GNSS experiment (MGEX)Galileo satelliteslaser ranging validationorbit comparisonsolar radiation pressure (SRP)ScienceQENRemote Sensing, Vol 13, Iss 4634, p 4634 (2021) |
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multi-GNSS experiment (MGEX) Galileo satellites laser ranging validation orbit comparison solar radiation pressure (SRP) Science Q |
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multi-GNSS experiment (MGEX) Galileo satellites laser ranging validation orbit comparison solar radiation pressure (SRP) Science Q Enzhe Tao Nannan Guo Kexin Xu Bin Wang Xuhua Zhou Validation of Multi-Year Galileo Orbits Using Satellite Laser Ranging |
description |
Satellite laser ranging (SLR) observations provide an independent validation of the global navigation satellite system (GNSS) orbits derived using microwave measurements. SLR residuals have also proven to be an important indicator of orbit radial accuracy. In this study, SLR validation is conducted for the precise orbits of eight Galileo satellites covering four to eight years (the current longest span), provided by multiple analysis centers (ACs) participating in the multi-GNSS experiment (MGEX). The purpose of this long-term analysis (the longest such study to date), is to provide a comprehensive evaluation of orbit product quality, its influencing factors, and the effect of perturbation model updates on precise orbit determination (POD) processing. A conventional ECOM solar radiation pressure (SRP) model was used for POD. The results showed distinct periodic variations with angular arguments in the SRP model, implying certain defects in the ECOM system. Updated SRP descriptions, such as ECOM2 or the Box-Wing model, led to significant improvements in SLR residuals for orbital products from multiple ACs. The standard deviation of these residuals decreased from 8–10 cm, before the SRP update, to about 3 cm afterward. The systematic bias of the residuals was also reduced by 2–4 cm and the apparent variability decreased significantly. In addition, the effects of gradual SRP model updates in the POD were evident in orbit comparisons. Orbital differences between ACs in the radial direction were reduced from the initial 10 cm to better than 3 cm, which is consistent with the results of SLR residual analysis. These results suggest SLR validation to be a powerful technique for evaluating the quality of POD strategies in GNSS orbits. Furthermore, this study has demonstrated that perturbation models, such as SRP, provide a better orbit modeling for the Galileo satellites. |
format |
article |
author |
Enzhe Tao Nannan Guo Kexin Xu Bin Wang Xuhua Zhou |
author_facet |
Enzhe Tao Nannan Guo Kexin Xu Bin Wang Xuhua Zhou |
author_sort |
Enzhe Tao |
title |
Validation of Multi-Year Galileo Orbits Using Satellite Laser Ranging |
title_short |
Validation of Multi-Year Galileo Orbits Using Satellite Laser Ranging |
title_full |
Validation of Multi-Year Galileo Orbits Using Satellite Laser Ranging |
title_fullStr |
Validation of Multi-Year Galileo Orbits Using Satellite Laser Ranging |
title_full_unstemmed |
Validation of Multi-Year Galileo Orbits Using Satellite Laser Ranging |
title_sort |
validation of multi-year galileo orbits using satellite laser ranging |
publisher |
MDPI AG |
publishDate |
2021 |
url |
https://doaj.org/article/773afcde3ebd42ec8a9a5d2ab8be3bc4 |
work_keys_str_mv |
AT enzhetao validationofmultiyeargalileoorbitsusingsatellitelaserranging AT nannanguo validationofmultiyeargalileoorbitsusingsatellitelaserranging AT kexinxu validationofmultiyeargalileoorbitsusingsatellitelaserranging AT binwang validationofmultiyeargalileoorbitsusingsatellitelaserranging AT xuhuazhou validationofmultiyeargalileoorbitsusingsatellitelaserranging |
_version_ |
1718410531203710976 |