Details
Conference
| Conference | IAG 2021 |
|---|---|
| Country/Territory | China |
| City | Beijing |
| Period | 28 Jun 2021 → 4 Jul 2021 |
| Internet address |
Abstract
In this paper, the authors present a closed concept for assessing the impact of receiver antenna patterns on a GNSS network geometry using generic patterns. A subset of Polish reference station network ASG-EUPOS applies as a sample for presenting the strategy in a step-by-step procedure. Two different approaches to GNSS processing are considered and investigated in detail, namely a network solution from Bernese and NAPEOS. We will show that and how specific generic pattern information - representing typical errors of PCCs - are spread over the network. The different estimated parameters, including the position solution, tropospheric parameters, and resolved ambiguities will be investigated for different GNSS in a heterogeneously equipped reference station network. The analyses reveal that repeatable offsets in the coordinate domain have to be expected, but also systematic deviations in the tropospheric parameters, which lead also to distortions of the derived meteorological products. In addition, a clear relationship was found with respect to the orientation of the baselines and to the density and distribution of the satellite sky distribution.
These analyses will support the quantitative assessment of different antenna calibration values and lead to a better understanding of their effects in the context of GNSS networks.
Keywords
- carrier phase center corrections, generic patterns, PPP, relative positioning, regional network
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2021. IAG 2021, Beijing, China.
Research output: Contribution to conference › Slides to presentation › Research › peer review
}
TY - CONF
T1 - On the impact of individual PCC errors on regional networks using different processing strategies
AU - Kersten, Tobias
AU - Krzan, Grzegorz
AU - Dawidowicz, Karol
AU - Schön, Steffen
PY - 2021/6/29
Y1 - 2021/6/29
N2 - Various contributions in the past addressed the issue on the required quality of GNSS receiver antenna calibrations and the assessment of their effect on GNSS data processing. Thus, networks with and without individual phase centre corrections (PCC) were analysed at global and local scale. Together with different test strategies - starting from the observation domain up to the position domain - many questions arise regarding the required precision and accuracy of the receiver antenna PCCs. Comprehensive and fundamental answers to this, however, are difficult to achieve as complex interactions on the processing strategy prevent simple estimation.In this paper, the authors present a closed concept for assessing the impact of receiver antenna patterns on a GNSS network geometry using generic patterns. A subset of Polish reference station network ASG-EUPOS applies as a sample for presenting the strategy in a step-by-step procedure. Two different approaches to GNSS processing are considered and investigated in detail, namely a network solution from Bernese and NAPEOS. We will show that and how specific generic pattern information - representing typical errors of PCCs - are spread over the network. The different estimated parameters, including the position solution, tropospheric parameters, and resolved ambiguities will be investigated for different GNSS in a heterogeneously equipped reference station network. The analyses reveal that repeatable offsets in the coordinate domain have to be expected, but also systematic deviations in the tropospheric parameters, which lead also to distortions of the derived meteorological products. In addition, a clear relationship was found with respect to the orientation of the baselines and to the density and distribution of the satellite sky distribution.These analyses will support the quantitative assessment of different antenna calibration values and lead to a better understanding of their effects in the context of GNSS networks.
AB - Various contributions in the past addressed the issue on the required quality of GNSS receiver antenna calibrations and the assessment of their effect on GNSS data processing. Thus, networks with and without individual phase centre corrections (PCC) were analysed at global and local scale. Together with different test strategies - starting from the observation domain up to the position domain - many questions arise regarding the required precision and accuracy of the receiver antenna PCCs. Comprehensive and fundamental answers to this, however, are difficult to achieve as complex interactions on the processing strategy prevent simple estimation.In this paper, the authors present a closed concept for assessing the impact of receiver antenna patterns on a GNSS network geometry using generic patterns. A subset of Polish reference station network ASG-EUPOS applies as a sample for presenting the strategy in a step-by-step procedure. Two different approaches to GNSS processing are considered and investigated in detail, namely a network solution from Bernese and NAPEOS. We will show that and how specific generic pattern information - representing typical errors of PCCs - are spread over the network. The different estimated parameters, including the position solution, tropospheric parameters, and resolved ambiguities will be investigated for different GNSS in a heterogeneously equipped reference station network. The analyses reveal that repeatable offsets in the coordinate domain have to be expected, but also systematic deviations in the tropospheric parameters, which lead also to distortions of the derived meteorological products. In addition, a clear relationship was found with respect to the orientation of the baselines and to the density and distribution of the satellite sky distribution.These analyses will support the quantitative assessment of different antenna calibration values and lead to a better understanding of their effects in the context of GNSS networks.
KW - carrier phase center corrections
KW - generic patterns
KW - PPP
KW - relative positioning
KW - regional network
M3 - Slides to presentation
T2 - IAG 2021
Y2 - 28 June 2021 through 4 July 2021
ER -