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Estimating and Analyzing Long-Term Multi-GNSS Inter-System Bias Based on Uncombined PPP

With the development of precise positioning with multi-GNSS, the inter-system bias (ISB) has become an issue that cannot be ignored. ISB is introduced from the differences among satellite reference clocks and different receiver hardware delay biases. To analyze the characteristics of multi-GNSS ISB,...

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Autores principales: Zhang, Fan, Liu, Changjian, Xiao, Guorui, Zhang, Xi, Feng, Xu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7085695/
https://www.ncbi.nlm.nih.gov/pubmed/32182881
http://dx.doi.org/10.3390/s20051499
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author Zhang, Fan
Liu, Changjian
Xiao, Guorui
Zhang, Xi
Feng, Xu
author_facet Zhang, Fan
Liu, Changjian
Xiao, Guorui
Zhang, Xi
Feng, Xu
author_sort Zhang, Fan
collection PubMed
description With the development of precise positioning with multi-GNSS, the inter-system bias (ISB) has become an issue that cannot be ignored. ISB is introduced from the differences among satellite reference clocks and different receiver hardware delay biases. To analyze the characteristics of multi-GNSS ISB, the precise point positioning (PPP) with full-rank uncombined model was derived for GLONASS, BDS, GALILEO, while the GPS receiver clock was selected as the reference. In addition, a recommended ISB parameter processing model was adopted. Data of 28-days from the Multi-GNSS Experiment (MGEX) station was used to estimate and analyze the ISB parameters. Based on a statistical analysis of the acquired data, results demonstrate that: (a) The rms of multi-GNSS PPP positional bias can reach 4.6 mm, 3.4 mm and 8.5 mm for E, N and U directions, respectively, which guarantees the reliability and accuracy of the ISB parameter solution. (b) The intra-day ISB time series of the three groups is relatively stable with standard deviations less than 0.6 ns. The ISB parameters between the GALILEO and GPS system are the most stable and the standard deviation was the smallest, at about 0.37 ns, which may be related to the good signal quality of the GALILEO system. (c) The mean of the single-day solution of the ISB parameter is not stable and the amplitude of the jump can be up to 60 ns. However, each station shows a similar variation for the same ISB parameter on the same day. The situation is independent of the type of receiver and antenna; however, it may be affected by the satellite reference clock of different systems. (d) There is a clear relationship between the ISB parameters and receiver types.
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spelling pubmed-70856952020-04-21 Estimating and Analyzing Long-Term Multi-GNSS Inter-System Bias Based on Uncombined PPP Zhang, Fan Liu, Changjian Xiao, Guorui Zhang, Xi Feng, Xu Sensors (Basel) Article With the development of precise positioning with multi-GNSS, the inter-system bias (ISB) has become an issue that cannot be ignored. ISB is introduced from the differences among satellite reference clocks and different receiver hardware delay biases. To analyze the characteristics of multi-GNSS ISB, the precise point positioning (PPP) with full-rank uncombined model was derived for GLONASS, BDS, GALILEO, while the GPS receiver clock was selected as the reference. In addition, a recommended ISB parameter processing model was adopted. Data of 28-days from the Multi-GNSS Experiment (MGEX) station was used to estimate and analyze the ISB parameters. Based on a statistical analysis of the acquired data, results demonstrate that: (a) The rms of multi-GNSS PPP positional bias can reach 4.6 mm, 3.4 mm and 8.5 mm for E, N and U directions, respectively, which guarantees the reliability and accuracy of the ISB parameter solution. (b) The intra-day ISB time series of the three groups is relatively stable with standard deviations less than 0.6 ns. The ISB parameters between the GALILEO and GPS system are the most stable and the standard deviation was the smallest, at about 0.37 ns, which may be related to the good signal quality of the GALILEO system. (c) The mean of the single-day solution of the ISB parameter is not stable and the amplitude of the jump can be up to 60 ns. However, each station shows a similar variation for the same ISB parameter on the same day. The situation is independent of the type of receiver and antenna; however, it may be affected by the satellite reference clock of different systems. (d) There is a clear relationship between the ISB parameters and receiver types. MDPI 2020-03-09 /pmc/articles/PMC7085695/ /pubmed/32182881 http://dx.doi.org/10.3390/s20051499 Text en © 2020 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
Zhang, Fan
Liu, Changjian
Xiao, Guorui
Zhang, Xi
Feng, Xu
Estimating and Analyzing Long-Term Multi-GNSS Inter-System Bias Based on Uncombined PPP
title Estimating and Analyzing Long-Term Multi-GNSS Inter-System Bias Based on Uncombined PPP
title_full Estimating and Analyzing Long-Term Multi-GNSS Inter-System Bias Based on Uncombined PPP
title_fullStr Estimating and Analyzing Long-Term Multi-GNSS Inter-System Bias Based on Uncombined PPP
title_full_unstemmed Estimating and Analyzing Long-Term Multi-GNSS Inter-System Bias Based on Uncombined PPP
title_short Estimating and Analyzing Long-Term Multi-GNSS Inter-System Bias Based on Uncombined PPP
title_sort estimating and analyzing long-term multi-gnss inter-system bias based on uncombined ppp
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7085695/
https://www.ncbi.nlm.nih.gov/pubmed/32182881
http://dx.doi.org/10.3390/s20051499
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