Analysis of Different Weighting Functions of Observations for GPS and Galileo Precise Point Positioning Performance

This research presents the analysis of using different weighting functions for the GPS and Galileo observations in Precise Point Positioning (PPP) performance for globally located stations for one week in 2021. Eight different weighting functions of observations dependent on the elevation angle have...

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Main Authors: Damian Kiliszek, Krzysztof Kroszczyński, Andrzej Araszkiewicz
Format: Article
Language:English
Published: MDPI AG 2022-05-01
Series:Remote Sensing
Subjects:
Online Access:https://www.mdpi.com/2072-4292/14/9/2223
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author Damian Kiliszek
Krzysztof Kroszczyński
Andrzej Araszkiewicz
author_facet Damian Kiliszek
Krzysztof Kroszczyński
Andrzej Araszkiewicz
author_sort Damian Kiliszek
collection DOAJ
description This research presents the analysis of using different weighting functions for the GPS and Galileo observations in Precise Point Positioning (PPP) performance for globally located stations for one week in 2021. Eight different weighting functions of observations dependent on the elevation angle have been selected. It was shown that the use of different weighting functions has no impact on the horizontal component but has a visible impact on the vertical component, the tropospheric delay and the convergence time. Depending on the solutions, i.e., GPS-only, Galileo-only or GPS+Galileo, various weighting functions turned out to the best. The obtained results confirm that the Galileo solution has comparable accuracy to the GPS solution. Also, with the Galileo solution, the best results were obtained for functions with a smaller dependence on the elevation angle than for GPS, since Galileo observations at lower elevation angles have better performance than GPS observations. Finally, a new weighting approach was proposed, using two different weighting functions from the best GPS-only and Galileo-only for GPS+Galileo solution. This approach improves the results by 5% for convergence time and 30% for the troposphere delay when compared to using the same function.
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spelling doaj.art-2678aff94cf441b9913961c1cc7c3dcc2023-11-23T09:12:26ZengMDPI AGRemote Sensing2072-42922022-05-01149222310.3390/rs14092223Analysis of Different Weighting Functions of Observations for GPS and Galileo Precise Point Positioning PerformanceDamian Kiliszek0Krzysztof Kroszczyński1Andrzej Araszkiewicz2Faculty of Civil Engineering and Geodesy, Military University of Technology, gen. S. Kaliskiego 2, 00-908 Warsaw, PolandFaculty of Civil Engineering and Geodesy, Military University of Technology, gen. S. Kaliskiego 2, 00-908 Warsaw, PolandFaculty of Civil Engineering and Geodesy, Military University of Technology, gen. S. Kaliskiego 2, 00-908 Warsaw, PolandThis research presents the analysis of using different weighting functions for the GPS and Galileo observations in Precise Point Positioning (PPP) performance for globally located stations for one week in 2021. Eight different weighting functions of observations dependent on the elevation angle have been selected. It was shown that the use of different weighting functions has no impact on the horizontal component but has a visible impact on the vertical component, the tropospheric delay and the convergence time. Depending on the solutions, i.e., GPS-only, Galileo-only or GPS+Galileo, various weighting functions turned out to the best. The obtained results confirm that the Galileo solution has comparable accuracy to the GPS solution. Also, with the Galileo solution, the best results were obtained for functions with a smaller dependence on the elevation angle than for GPS, since Galileo observations at lower elevation angles have better performance than GPS observations. Finally, a new weighting approach was proposed, using two different weighting functions from the best GPS-only and Galileo-only for GPS+Galileo solution. This approach improves the results by 5% for convergence time and 30% for the troposphere delay when compared to using the same function.https://www.mdpi.com/2072-4292/14/9/2223PPPGalileostochastic modelingweighting functionselevation angleconvergence time
spellingShingle Damian Kiliszek
Krzysztof Kroszczyński
Andrzej Araszkiewicz
Analysis of Different Weighting Functions of Observations for GPS and Galileo Precise Point Positioning Performance
Remote Sensing
PPP
Galileo
stochastic modeling
weighting functions
elevation angle
convergence time
title Analysis of Different Weighting Functions of Observations for GPS and Galileo Precise Point Positioning Performance
title_full Analysis of Different Weighting Functions of Observations for GPS and Galileo Precise Point Positioning Performance
title_fullStr Analysis of Different Weighting Functions of Observations for GPS and Galileo Precise Point Positioning Performance
title_full_unstemmed Analysis of Different Weighting Functions of Observations for GPS and Galileo Precise Point Positioning Performance
title_short Analysis of Different Weighting Functions of Observations for GPS and Galileo Precise Point Positioning Performance
title_sort analysis of different weighting functions of observations for gps and galileo precise point positioning performance
topic PPP
Galileo
stochastic modeling
weighting functions
elevation angle
convergence time
url https://www.mdpi.com/2072-4292/14/9/2223
work_keys_str_mv AT damiankiliszek analysisofdifferentweightingfunctionsofobservationsforgpsandgalileoprecisepointpositioningperformance
AT krzysztofkroszczynski analysisofdifferentweightingfunctionsofobservationsforgpsandgalileoprecisepointpositioningperformance
AT andrzejaraszkiewicz analysisofdifferentweightingfunctionsofobservationsforgpsandgalileoprecisepointpositioningperformance