Estimation and Validation of Codephase Center Correction using the Empirical Mode Decomposition

authored by: Yannick Breva, Johannes Kröger, Tobias Kersten, Steffen Schön
Abstract: n high precision Global Navigation Satellite Systems (GNSS) applications, it is necessary to take phase center corrections (PCC) into account. Beside these corrections for carrier phase measurements, also corrections for the codephase are necessary, so called codephase center corrections (CPC). The CPC, also known as group delay variations, are antenna dependent delays of the received codephase, which are varying with azimuth and elevation of the incoming GNSS signal. A concept for estimating absolute CPC and PCC for multi GNSS signals has been established by the Institut für Erdmessung.

In this paper, the standard calibration approach with a sampling rate of 1 Hz is briefly described, which works well for PCC estimation. The main challenge of this approach for estimating repeatable CPC patterns is the significantly higher noise to pattern ratio in the observations compared to PCC determination. Therefore, an alternative processing strategy is presented in this contribution. By increasing the sampling rate to 10 Hz, the empirical mode decomposition can be used to reduce the noise of the input observations by maintaining all pattern information. With this method, the calibration repeatability is improved by 46% to 60% for GPS and Galileo C1C signals for a geodetic antenna. Moreover, the estimated pattern is validated in the positioning domain with a single point positioning approach. By considering the estimated CPC the accuracy of the height component can be improved.
Organisation(s): Institute of Geodesy
Type: Conference contribution
Pages: 333 - 343
No. of pages: 11
Publication date: 2023
Publication status: Published
Peer reviewed: Yes
ASJC Scopus subject areas: Applied Mathematics, Electrical and Electronic Engineering, Computers in Earth Sciences, Geophysics
Research Area (based on ÖFOS 2012): Microwave engineering, Satellite geodesy, Satellite-based coordinate measuring
Electronic version(s): https://doi.org/10.1007/1345_2022_159 (Access: Open)
: Details in the research portal "Research@Leibniz University"

BibTeX

@inproceedings{85597ecd22d04d1e94915bf51b41e4f9,
title = "Estimation and Validation of Codephase Center Correction using the Empirical Mode Decomposition",
abstract = "n high precision Global Navigation Satellite Systems (GNSS) applications, it is necessary to take phase center corrections (PCC) into account. Beside these corrections for carrier phase measurements, also corrections for the codephase are necessary, so called codephase center corrections (CPC). The CPC, also known as group delay variations, are antenna dependent delays of the received codephase, which are varying with azimuth and elevation of the incoming GNSS signal. A concept for estimating absolute CPC and PCC for multi GNSS signals has been established by the Institut f{\"u}r Erdmessung.In this paper, the standard calibration approach with a sampling rate of 1 Hz is briefly described, which works well for PCC estimation. The main challenge of this approach for estimating repeatable CPC patterns is the significantly higher noise to pattern ratio in the observations compared to PCC determination. Therefore, an alternative processing strategy is presented in this contribution. By increasing the sampling rate to 10 Hz, the empirical mode decomposition can be used to reduce the noise of the input observations by maintaining all pattern information. With this method, the calibration repeatability is improved by 46% to 60% for GPS and Galileo C1C signals for a geodetic antenna. Moreover, the estimated pattern is validated in the positioning domain with a single point positioning approach. By considering the estimated CPC the accuracy of the height component can be improved.",
keywords = "Absolute antenna calibration, Group delay variation, codephase center corrections (CPC), Empirical Mode Decomposition, Empirical mode decomposition, Group delay variations, Codephase center corrections",
author = "Yannick Breva and Johannes Kr{\"o}ger and Tobias Kersten and Steffen Sch{\"o}n",
note = "Funding Information: Parts of the work were funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation)— Project-ID 434617780—SFB 1464.",
year = "2023",
doi = "10.1007/1345_2022_159",
language = "English",
isbn = "9783031295065",
series = "International Association of Geodesy Symposia",
publisher = "Springer Nature",
pages = "333 -- 343",
editor = "Freymueller, {Jeffrey T.} and Laura S{\'a}nchez",
booktitle = "Geodesy for a Sustainable Earth",
address = "United States",
}