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BeiDou Satellite Unhealthy States and the Impact on System Performance

The BeiDou system satellites may be unhealthy due to many reasons, affecting system performance in different ways. Therefore, it is important to analyze the causes and characteristics of the satellites’ unhealthy states. In this study, these states are classified into five types based on the broadca...

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Detalles Bibliográficos
Autores principales: Hu, Caibo, Shi, Chuang, Chen, Jinping, Lou, Yidong, Wang, Fei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6308660/
https://www.ncbi.nlm.nih.gov/pubmed/30513593
http://dx.doi.org/10.3390/s18124196
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author Hu, Caibo
Shi, Chuang
Chen, Jinping
Lou, Yidong
Wang, Fei
author_facet Hu, Caibo
Shi, Chuang
Chen, Jinping
Lou, Yidong
Wang, Fei
author_sort Hu, Caibo
collection PubMed
description The BeiDou system satellites may be unhealthy due to many reasons, affecting system performance in different ways. Therefore, it is important to analyze the causes and characteristics of the satellites’ unhealthy states. In this study, these states are classified into five types based on the broadcast ephemeris. Three criteria are presented, based on which a general classification method is proposed. Data from July 2017 to June 2018 are analyzed to validate the method, from which we know that the average unhealthy duration due to satellite maneuvers is much longer than the duration of unhealthy states related to satellite orbit or clock anomalies, and the other unhealthy states may be caused by inbound or outbound satellites. Statistics show that most of the time, the number of unhealthy satellites is no more than two and the average positioning accuracy in the service area will decrease by no more than 0.75 and 1.2 meters when one or two BDS satellites are unhealthy, respectively.
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spelling pubmed-63086602019-01-04 BeiDou Satellite Unhealthy States and the Impact on System Performance Hu, Caibo Shi, Chuang Chen, Jinping Lou, Yidong Wang, Fei Sensors (Basel) Article The BeiDou system satellites may be unhealthy due to many reasons, affecting system performance in different ways. Therefore, it is important to analyze the causes and characteristics of the satellites’ unhealthy states. In this study, these states are classified into five types based on the broadcast ephemeris. Three criteria are presented, based on which a general classification method is proposed. Data from July 2017 to June 2018 are analyzed to validate the method, from which we know that the average unhealthy duration due to satellite maneuvers is much longer than the duration of unhealthy states related to satellite orbit or clock anomalies, and the other unhealthy states may be caused by inbound or outbound satellites. Statistics show that most of the time, the number of unhealthy satellites is no more than two and the average positioning accuracy in the service area will decrease by no more than 0.75 and 1.2 meters when one or two BDS satellites are unhealthy, respectively. MDPI 2018-11-30 /pmc/articles/PMC6308660/ /pubmed/30513593 http://dx.doi.org/10.3390/s18124196 Text en © 2018 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
Hu, Caibo
Shi, Chuang
Chen, Jinping
Lou, Yidong
Wang, Fei
BeiDou Satellite Unhealthy States and the Impact on System Performance
title BeiDou Satellite Unhealthy States and the Impact on System Performance
title_full BeiDou Satellite Unhealthy States and the Impact on System Performance
title_fullStr BeiDou Satellite Unhealthy States and the Impact on System Performance
title_full_unstemmed BeiDou Satellite Unhealthy States and the Impact on System Performance
title_short BeiDou Satellite Unhealthy States and the Impact on System Performance
title_sort beidou satellite unhealthy states and the impact on system performance
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6308660/
https://www.ncbi.nlm.nih.gov/pubmed/30513593
http://dx.doi.org/10.3390/s18124196
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