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Estimation and analysis of Galileo differential code biases

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Abstract

When sensing the Earth’s ionosphere using dual-frequency pseudorange observations of global navigation satellite systems (GNSS), the satellite and receiver differential code biases (DCBs) account for one of the main sources of error. For the Galileo system, limited knowledge is available about the determination and characteristic analysis of the satellite and receiver DCBs. To better understand the characteristics of satellite and receiver DCBs of Galileo, the IGGDCB (IGG, Institute of Geodesy and Geophysics, Wuhan, China) method is extended to estimate the satellite and receiver DCBs of Galileo, with the combined use of GPS and Galileo observations. The experimental data were collected from the Multi-GNSS Experiment network, covering the period of 2013–2015. The stability of both Galileo satellite and receiver DCBs over a time period of 36 months was thereby analyzed for the current state of the Galileo system. Good agreement of Galileo satellite DCBs is found between the IGGDCB-based DCB estimates and those from the German Aerospace Center (DLR), at the level of 0.22 ns. Moreover, high-level stability of the Galileo satellite DCB estimates is obtained over the selected time span (less than 0.25 ns in terms of standard deviation) by both IGGDCB and DLR algorithms. The Galileo receiver DCB estimates are also relatively stable for the case in which the receiver hardware device stays unchanged. It can also be concluded that the receiver DCB estimates are rather sensitive to the change of the firmware version and that the receiver antenna type has no great impact on receiver DCBs.

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Acknowledgments

We would like to acknowledge the IGS Multi-GNSS Experiment (MGEX) and German Aerospace Center (DLR) for providing access to GNSS data and differential code bias (DCB) products. This work was supported by the National key Research Program of China “Collaborative Precision Positioning Project” (No.2016YFB0501900), China Natural Science Funds (No. 41674022, 41231064, 41304034, 41674043, 41621063, 41574033, 41321063, and 41504035), the National High-tech R&D Program of China (863 Program 2014AA123503), and the CAS/SAFEA International Partnership Program for Creative Research Teams (KZZD-EW-TZ-05).

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Correspondence to Min Li or Yunbin Yuan.

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Li, M., Yuan, Y., Wang, N. et al. Estimation and analysis of Galileo differential code biases. J Geod 91, 279–293 (2017). https://doi.org/10.1007/s00190-016-0962-1

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