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Consistency and analysis of ionospheric observables obtained from three precise point positioning models

  • Yan XiangEmail author
  • Yang Gao
  • Junbo Shi
  • Chaoqian Xu
Original Article

Abstract

Ionospheric observables based on Global Navigation Satellite System can be obtained by a variety of approaches. The most widely used one is the geometry-free combination of carrier-phase smoothed code measurements. This method, however, introduces leveling errors that substantially degrade the performance of ionospheric modeling and bias estimation. To reduce leveling errors, precise point positioning (PPP) model is preferred for obtaining the ionospheric observables. We aim to investigate whether the ionospheric observables obtained from three different PPP models are consistent and how the PPP-based ionospheric observables relates to the smoothed code method. The paper begins by formulating the ionospheric observables. We then explain the statistical evaluation methods used for analyzing the bias terms derived from these methods and assessing the leveling errors from the carrier-phase smoothed code method. Numerical analysis is then conducted to compare the bias terms in the ionospheric observables and evaluate the leveling errors. The ionospheric observables based on the three PPP models show strong consistency. Compared to leveling errors in the carrier-phase smoothed code method, the leveling errors using the uncombined PPP model are significantly reduced up to five times.

Keywords

Ionospheric observables Bias terms Differential code biases (DCBs) Leveling errors Smoothed code measurement Precise point positioning (PPP) 

Notes

Acknowledgements

Data retrieved from the International GNSS Service (IGS) and products downloaded from Crustal Dynamics Data Information System and the Center for Orbit Determination in Europe (CODE) are both gratefully acknowledged. We also thank the Chinese Scholarship Council for scholarship assistance. This work has also been supported by the National Natural Science Foundation of China (Grant No. 41504027).

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Copyright information

© Springer-Verlag GmbH Germany, part of Springer Nature 2019

Authors and Affiliations

  1. 1.Department of Geomatics EngineeringUniversity of CalgaryCalgaryCanada
  2. 2.School of Geodesy and GeomaticsWuhan UniversityWuhanChina

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