TY - GEN

T1 - Estimation and Validation of Codephase Center Correction using the Empirical Mode Decomposition

AU - Breva, Yannick

AU - Kröger, Johannes

AU - Kersten, Tobias

AU - Schön, Steffen

N1 - Funding Information: Parts of the work were funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation)— Project-ID 434617780—SFB 1464.

PY - 2023

Y1 - 2023

N2 - 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.

AB - 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.

KW - Absolute antenna calibration

KW - Group delay variation

KW - codephase center corrections (CPC)

KW - Empirical Mode Decomposition

KW - Empirical mode decomposition

KW - Group delay variations

KW - Codephase center corrections

UR - http://www.scopus.com/inward/record.url?scp=85172691396&partnerID=8YFLogxK

U2 - 10.1007/1345_2022_159

DO - 10.1007/1345_2022_159

M3 - Conference contribution

SN - 9783031295065

T3 - International Association of Geodesy Symposia

SP - 333

EP - 343

BT - Geodesy for a Sustainable Earth

A2 - Freymueller, Jeffrey T.

A2 - Sánchez, Laura

PB - Springer Nature

ER -