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Abstract

This study presents the contribution of multi-GNSS (Global Navigation Satellite System) observations to the kinematic single-frequency precise point positioning (SF-PPP) technique and examines the effect of twenty-one different global ionosphere maps (GIMs), which are relied on 1/2 day predicted, broadcast, rapid, and final observations, provided to the GNSS-users by eight different Ionosphere Associate Analysis Centers (IAACs) on the SF-PPP technique. Two different experimental data were used in this contribution. First, thirty International GNSS Service (IGS) station observation data from the IGS network were evaluated, and then a kinematic vehicle experiment was performed. Both the contribution of multi-GNSS observations to the SF-PPP technique and the effect of GIMs on the SF-PPP were investigated employing these two experimental data. The outcomes clearly demonstrate that the quad combination improves the position accuracy of the SF-PPP technique in the horizontal component by an average of 39%, 24%, and 11%, respectively, compared to those obtained from single, dual, and triple constellations. Moreover, the results clearly indicate that the GIMs considerably shorten the convergence time of the SF-PPP technique, while among the GIMs, CARG, CASG, CODG, and IGSG provide more position accuracy improvements than others for horizontal and vertical components. Finally, the findings clearly show that the C1PG and C2PG, which are 1/2 day predicted GIMs, are quite promising, although the CKMG and GPSG products based on broadcast observations are not yet at the required accuracy.

Details

Title
An investigation of the contribution of multi-GNSS observations to the single-frequency precise point positioning method and validation of the global ionospheric maps provided by different IAACs
Author
Bezcioglu, Mert 1   VIAFID ORCID Logo 

 Gebze Technical University, Department of Geomatics Engineering, Gebze, Turkey (GRID:grid.448834.7) (ISNI:0000 0004 0595 7127) 
Pages
2511-2528
Publication year
2023
Publication date
Sep 2023
Publisher
Springer Nature B.V.
ISSN
18650473
e-ISSN
18650481
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2856656546
Copyright
© The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.