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

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Original languageEnglish
Title of host publicationGeodesy for a Sustainable Earth
Subtitle of host publicationProceedings of the 2021 Scientific Assembly of the International Association of Geodesy, Beijing, China, June 28 - July 2, 2021
EditorsJeffrey T. Freymueller, Laura Sánchez
PublisherSpringer Nature
Pages333 - 343
Number of pages11
ISBN (electronic)9783031295072
ISBN (print)9783031295065
Publication statusPublished - 2023

Publication series

NameInternational Association of Geodesy Symposia
Volume154
ISSN (Print)0939-9585
ISSN (electronic)2197-9359

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.

Keywords

    Absolute antenna calibration, Group delay variation, codephase center corrections (CPC), Empirical Mode Decomposition, Empirical mode decomposition, Group delay variations, Codephase center corrections

ASJC Scopus subject areas

Research Area (based on ÖFOS 2012)

  • TECHNICAL SCIENCES
  • Electrical Engineering, Electronics, Information Engineering
  • Electrical Engineering, Electronics, Information Engineering
  • Microwave engineering
  • TECHNICAL SCIENCES
  • Environmental Engineering, Applied Geosciences
  • Geodesy, Surveying
  • Satellite geodesy
  • TECHNICAL SCIENCES
  • Environmental Engineering, Applied Geosciences
  • Geodesy, Surveying
  • Satellite-based coordinate measuring

Cite this

Estimation and Validation of Codephase Center Correction using the Empirical Mode Decomposition. / Breva, Yannick; Kröger, Johannes; Kersten, Tobias et al.
Geodesy for a Sustainable Earth: Proceedings of the 2021 Scientific Assembly of the International Association of Geodesy, Beijing, China, June 28 - July 2, 2021. ed. / Jeffrey T. Freymueller; Laura Sánchez. Springer Nature, 2023. p. 333 - 343 159 (International Association of Geodesy Symposia; Vol. 154).

Research output: Chapter in book/report/conference proceedingConference contributionResearchpeer review

Breva, Y, Kröger, J, Kersten, T & Schön, S 2023, Estimation and Validation of Codephase Center Correction using the Empirical Mode Decomposition. in JT Freymueller & L Sánchez (eds), Geodesy for a Sustainable Earth: Proceedings of the 2021 Scientific Assembly of the International Association of Geodesy, Beijing, China, June 28 - July 2, 2021., 159, International Association of Geodesy Symposia, vol. 154, Springer Nature, pp. 333 - 343. https://doi.org/10.1007/1345_2022_159
Breva, Y., Kröger, J., Kersten, T., & Schön, S. (2023). Estimation and Validation of Codephase Center Correction using the Empirical Mode Decomposition. In J. T. Freymueller, & L. Sánchez (Eds.), Geodesy for a Sustainable Earth: Proceedings of the 2021 Scientific Assembly of the International Association of Geodesy, Beijing, China, June 28 - July 2, 2021 (pp. 333 - 343). Article 159 (International Association of Geodesy Symposia; Vol. 154). Springer Nature. https://doi.org/10.1007/1345_2022_159
Breva Y, Kröger J, Kersten T, Schön S. Estimation and Validation of Codephase Center Correction using the Empirical Mode Decomposition. In Freymueller JT, Sánchez L, editors, Geodesy for a Sustainable Earth: Proceedings of the 2021 Scientific Assembly of the International Association of Geodesy, Beijing, China, June 28 - July 2, 2021. Springer Nature. 2023. p. 333 - 343. 159. (International Association of Geodesy Symposia). Epub 2022 Sept 15. doi: 10.1007/1345_2022_159
Breva, Yannick ; Kröger, Johannes ; Kersten, Tobias et al. / Estimation and Validation of Codephase Center Correction using the Empirical Mode Decomposition. Geodesy for a Sustainable Earth: Proceedings of the 2021 Scientific Assembly of the International Association of Geodesy, Beijing, China, June 28 - July 2, 2021. editor / Jeffrey T. Freymueller ; Laura Sánchez. Springer Nature, 2023. pp. 333 - 343 (International Association of Geodesy Symposia).
Download
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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.",
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