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BeiDou Geostationary Satellite Code Bias Modeling Using Fengyun-3C Onboard Measurements
This study validated and investigated elevation- and frequency-dependent systematic biases observed in ground-based code measurements of the Chinese BeiDou navigation satellite system, using the onboard BeiDou code measurement data from the Chinese meteorological satellite Fengyun-3C. Particularly f...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5713000/ https://www.ncbi.nlm.nih.gov/pubmed/29076998 http://dx.doi.org/10.3390/s17112460 |
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author | Jiang, Kecai Li, Min Zhao, Qile Li, Wenwen Guo, Xiang |
author_facet | Jiang, Kecai Li, Min Zhao, Qile Li, Wenwen Guo, Xiang |
author_sort | Jiang, Kecai |
collection | PubMed |
description | This study validated and investigated elevation- and frequency-dependent systematic biases observed in ground-based code measurements of the Chinese BeiDou navigation satellite system, using the onboard BeiDou code measurement data from the Chinese meteorological satellite Fengyun-3C. Particularly for geostationary earth orbit satellites, sky-view coverage can be achieved over the entire elevation and azimuth angle ranges with the available onboard tracking data, which is more favorable to modeling code biases. Apart from the BeiDou-satellite-induced biases, the onboard BeiDou code multipath effects also indicate pronounced near-field systematic biases that depend only on signal frequency and the line-of-sight directions. To correct these biases, we developed a proposed code correction model by estimating the BeiDou-satellite-induced biases as linear piece-wise functions in different satellite groups and the near-field systematic biases in a grid approach. To validate the code bias model, we carried out orbit determination using single-frequency BeiDou data with and without code bias corrections applied. Orbit precision statistics indicate that those code biases can seriously degrade single-frequency orbit determination. After the correction model was applied, the orbit position errors, 3D root mean square, were reduced from 150.6 to 56.3 cm. |
format | Online Article Text |
id | pubmed-5713000 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-57130002017-12-07 BeiDou Geostationary Satellite Code Bias Modeling Using Fengyun-3C Onboard Measurements Jiang, Kecai Li, Min Zhao, Qile Li, Wenwen Guo, Xiang Sensors (Basel) Article This study validated and investigated elevation- and frequency-dependent systematic biases observed in ground-based code measurements of the Chinese BeiDou navigation satellite system, using the onboard BeiDou code measurement data from the Chinese meteorological satellite Fengyun-3C. Particularly for geostationary earth orbit satellites, sky-view coverage can be achieved over the entire elevation and azimuth angle ranges with the available onboard tracking data, which is more favorable to modeling code biases. Apart from the BeiDou-satellite-induced biases, the onboard BeiDou code multipath effects also indicate pronounced near-field systematic biases that depend only on signal frequency and the line-of-sight directions. To correct these biases, we developed a proposed code correction model by estimating the BeiDou-satellite-induced biases as linear piece-wise functions in different satellite groups and the near-field systematic biases in a grid approach. To validate the code bias model, we carried out orbit determination using single-frequency BeiDou data with and without code bias corrections applied. Orbit precision statistics indicate that those code biases can seriously degrade single-frequency orbit determination. After the correction model was applied, the orbit position errors, 3D root mean square, were reduced from 150.6 to 56.3 cm. MDPI 2017-10-27 /pmc/articles/PMC5713000/ /pubmed/29076998 http://dx.doi.org/10.3390/s17112460 Text en © 2017 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 Jiang, Kecai Li, Min Zhao, Qile Li, Wenwen Guo, Xiang BeiDou Geostationary Satellite Code Bias Modeling Using Fengyun-3C Onboard Measurements |
title | BeiDou Geostationary Satellite Code Bias Modeling Using Fengyun-3C Onboard Measurements |
title_full | BeiDou Geostationary Satellite Code Bias Modeling Using Fengyun-3C Onboard Measurements |
title_fullStr | BeiDou Geostationary Satellite Code Bias Modeling Using Fengyun-3C Onboard Measurements |
title_full_unstemmed | BeiDou Geostationary Satellite Code Bias Modeling Using Fengyun-3C Onboard Measurements |
title_short | BeiDou Geostationary Satellite Code Bias Modeling Using Fengyun-3C Onboard Measurements |
title_sort | beidou geostationary satellite code bias modeling using fengyun-3c onboard measurements |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5713000/ https://www.ncbi.nlm.nih.gov/pubmed/29076998 http://dx.doi.org/10.3390/s17112460 |
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