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Improving the Performance of Multi-GNSS Time and Frequency Transfer Using Robust Helmert Variance Component Estimation

The combination of multiple Global Navigation Satellite Systems (GNSSs) may improve the performance of time and frequency transfers by increasing the number of available satellites and improving the time dilution of precision. However, the receiver clock estimation is easily affected by the inapprop...

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Detalles Bibliográficos
Autores principales: Zhang, Pengfei, Tu, Rui, Gao, Yuping, Zhang, Rui, Liu, Na
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6164198/
https://www.ncbi.nlm.nih.gov/pubmed/30200328
http://dx.doi.org/10.3390/s18092878
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author Zhang, Pengfei
Tu, Rui
Gao, Yuping
Zhang, Rui
Liu, Na
author_facet Zhang, Pengfei
Tu, Rui
Gao, Yuping
Zhang, Rui
Liu, Na
author_sort Zhang, Pengfei
collection PubMed
description The combination of multiple Global Navigation Satellite Systems (GNSSs) may improve the performance of time and frequency transfers by increasing the number of available satellites and improving the time dilution of precision. However, the receiver clock estimation is easily affected by the inappropriate weight of multi-GNSSs due to the different characteristics of individual GNSS signals as well as the outliers from observations. Thus, we utilised a robust Helmert variance component estimation (RVCE) approach to determine the appropriate weights of different GNSS observations, and to control for the influence of outliers in these observation in multi-GNSS time and frequency transfer. In order to validate the effectiveness of this approach, four time links were employed. Compared to traditional solutions, the mean improvement of smoothed residuals is 3.43% using the RVCE approach. With respect to the frequency stability of the time links, the RVCE solution outperforms the traditional solution, particularly in the short-term, and the mean improvement is markedly high at 14.89%.
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spelling pubmed-61641982018-10-10 Improving the Performance of Multi-GNSS Time and Frequency Transfer Using Robust Helmert Variance Component Estimation Zhang, Pengfei Tu, Rui Gao, Yuping Zhang, Rui Liu, Na Sensors (Basel) Article The combination of multiple Global Navigation Satellite Systems (GNSSs) may improve the performance of time and frequency transfers by increasing the number of available satellites and improving the time dilution of precision. However, the receiver clock estimation is easily affected by the inappropriate weight of multi-GNSSs due to the different characteristics of individual GNSS signals as well as the outliers from observations. Thus, we utilised a robust Helmert variance component estimation (RVCE) approach to determine the appropriate weights of different GNSS observations, and to control for the influence of outliers in these observation in multi-GNSS time and frequency transfer. In order to validate the effectiveness of this approach, four time links were employed. Compared to traditional solutions, the mean improvement of smoothed residuals is 3.43% using the RVCE approach. With respect to the frequency stability of the time links, the RVCE solution outperforms the traditional solution, particularly in the short-term, and the mean improvement is markedly high at 14.89%. MDPI 2018-08-31 /pmc/articles/PMC6164198/ /pubmed/30200328 http://dx.doi.org/10.3390/s18092878 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
Zhang, Pengfei
Tu, Rui
Gao, Yuping
Zhang, Rui
Liu, Na
Improving the Performance of Multi-GNSS Time and Frequency Transfer Using Robust Helmert Variance Component Estimation
title Improving the Performance of Multi-GNSS Time and Frequency Transfer Using Robust Helmert Variance Component Estimation
title_full Improving the Performance of Multi-GNSS Time and Frequency Transfer Using Robust Helmert Variance Component Estimation
title_fullStr Improving the Performance of Multi-GNSS Time and Frequency Transfer Using Robust Helmert Variance Component Estimation
title_full_unstemmed Improving the Performance of Multi-GNSS Time and Frequency Transfer Using Robust Helmert Variance Component Estimation
title_short Improving the Performance of Multi-GNSS Time and Frequency Transfer Using Robust Helmert Variance Component Estimation
title_sort improving the performance of multi-gnss time and frequency transfer using robust helmert variance component estimation
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6164198/
https://www.ncbi.nlm.nih.gov/pubmed/30200328
http://dx.doi.org/10.3390/s18092878
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