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...
Main Authors: | , , , , |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2018-08-01
|
Series: | Sensors |
Subjects: | |
Online Access: | http://www.mdpi.com/1424-8220/18/9/2878 |
_version_ | 1797999961152946176 |
---|---|
author | Pengfei Zhang Rui Tu Yuping Gao Rui Zhang Na Liu |
author_facet | Pengfei Zhang Rui Tu Yuping Gao Rui Zhang Na Liu |
author_sort | Pengfei Zhang |
collection | DOAJ |
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%. |
first_indexed | 2024-04-11T11:11:29Z |
format | Article |
id | doaj.art-3321bbfa48fb40798c10d9b76432597c |
institution | Directory Open Access Journal |
issn | 1424-8220 |
language | English |
last_indexed | 2024-04-11T11:11:29Z |
publishDate | 2018-08-01 |
publisher | MDPI AG |
record_format | Article |
series | Sensors |
spelling | doaj.art-3321bbfa48fb40798c10d9b76432597c2022-12-22T04:27:26ZengMDPI AGSensors1424-82202018-08-01189287810.3390/s18092878s18092878Improving the Performance of Multi-GNSS Time and Frequency Transfer Using Robust Helmert Variance Component EstimationPengfei Zhang0Rui Tu1Yuping Gao2Rui Zhang3Na Liu4National Time Service Center, Chinese Academy of Sciences, Shu Yuan Road, Xi’an 710600, ChinaNational Time Service Center, Chinese Academy of Sciences, Shu Yuan Road, Xi’an 710600, ChinaNational Time Service Center, Chinese Academy of Sciences, Shu Yuan Road, Xi’an 710600, ChinaNational Time Service Center, Chinese Academy of Sciences, Shu Yuan Road, Xi’an 710600, ChinaNational Time Service Center, Chinese Academy of Sciences, Shu Yuan Road, Xi’an 710600, ChinaThe 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%.http://www.mdpi.com/1424-8220/18/9/2878time and frequency transfermulti-GNSSrobust estimationHelmert variance component |
spellingShingle | Pengfei Zhang Rui Tu Yuping Gao Rui Zhang Na Liu Improving the Performance of Multi-GNSS Time and Frequency Transfer Using Robust Helmert Variance Component Estimation Sensors time and frequency transfer multi-GNSS robust estimation Helmert variance component |
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 | time and frequency transfer multi-GNSS robust estimation Helmert variance component |
url | http://www.mdpi.com/1424-8220/18/9/2878 |
work_keys_str_mv | AT pengfeizhang improvingtheperformanceofmultignsstimeandfrequencytransferusingrobusthelmertvariancecomponentestimation AT ruitu improvingtheperformanceofmultignsstimeandfrequencytransferusingrobusthelmertvariancecomponentestimation AT yupinggao improvingtheperformanceofmultignsstimeandfrequencytransferusingrobusthelmertvariancecomponentestimation AT ruizhang improvingtheperformanceofmultignsstimeandfrequencytransferusingrobusthelmertvariancecomponentestimation AT naliu improvingtheperformanceofmultignsstimeandfrequencytransferusingrobusthelmertvariancecomponentestimation |