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Ionospheric tomographic common clock model of undifferenced uncombined GNSS measurements.

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Title: Ionospheric tomographic common clock model of undifferenced uncombined GNSS measurements.
Authors: Olivares-Pulido, Germán1 (AUTHOR), Hernández-Pajares, Manuel1 (AUTHOR) manuel.hernandez@upc.edu, Lyu, Haixia2 (AUTHOR), Gu, Shengfeng3 (AUTHOR), García-Rigo, Alberto1 (AUTHOR), Graffigna, Victoria4 (AUTHOR), Tomaszewski, Dariusz5 (AUTHOR), Wielgosz, Paweł5 (AUTHOR), Rapiński, Jacek5 (AUTHOR), Krypiak-Gregorczyk, Anna5 (AUTHOR), Kaźmierczak, Rafał5 (AUTHOR), Orús-Pérez, Raul6 (AUTHOR)
Source: Journal of Geodesy. Nov2021, Vol. 95 Issue 11, p1-13. 13p.
Abstract: In this manuscript, we introduce the Ionospheric Tomographic Common Clock (ITCC) model of undifferenced uncombined GNSS measurements. It is intended for improving the Wide Area precise positioning in a consistent and simple way in the multi-GNSS context, and without the need of external precise real-time products. This is the case, in particular, of the satellite clocks, which are estimated at the Wide Area GNSS network Central Processing Facility (CPF) referred to the reference receiver one; and the precise realtime ionospheric corrections, simultaneously computed under a voxel-based tomographic model with satellite clocks and other geodetic unknowns, from the uncombined and undifferenced pseudoranges and carrier phase measurements at the CPF from the Wide Area GNSS network area. The model, without fixing the carrier phase ambiguities for the time being (just constraining them by the simultaneous solution of both ionospheric and geometric components of the uncombined GNSS model), has been successfully applied and assessed against previous precise positioning techniques. This has been done by emulating real-time conditions for Wide Area GPS users during 2018 in Poland. [ABSTRACT FROM AUTHOR]
Copyright of Journal of Geodesy is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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  Data: Ionospheric tomographic common clock model of undifferenced uncombined GNSS measurements.
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  Data: <searchLink fieldCode="JN" term="%22Journal+of+Geodesy%22">Journal of Geodesy</searchLink>. Nov2021, Vol. 95 Issue 11, p1-13. 13p.
– Name: Abstract
  Label: Abstract
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  Data: In this manuscript, we introduce the Ionospheric Tomographic Common Clock (ITCC) model of undifferenced uncombined GNSS measurements. It is intended for improving the Wide Area precise positioning in a consistent and simple way in the multi-GNSS context, and without the need of external precise real-time products. This is the case, in particular, of the satellite clocks, which are estimated at the Wide Area GNSS network Central Processing Facility (CPF) referred to the reference receiver one; and the precise realtime ionospheric corrections, simultaneously computed under a voxel-based tomographic model with satellite clocks and other geodetic unknowns, from the uncombined and undifferenced pseudoranges and carrier phase measurements at the CPF from the Wide Area GNSS network area. The model, without fixing the carrier phase ambiguities for the time being (just constraining them by the simultaneous solution of both ionospheric and geometric components of the uncombined GNSS model), has been successfully applied and assessed against previous precise positioning techniques. This has been done by emulating real-time conditions for Wide Area GPS users during 2018 in Poland. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
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  Data: <i>Copyright of Journal of Geodesy is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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              Text: Nov2021
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