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Estimation and Analysis of BDS-3 Differential Code Biases from MGEX Observations

1
School of Geography and Information Engineering, China University of Geosciences, Wuhan 430074, China
2
School of Remote Sensing and Geomatics Engineering, Nanjing University of Information Science and Technology, Nanjing 210044, China
3
Shanghai Astronomical Observatory, Chinese Academy of Sciences, Shanghai 200030, China
4
College of Civil Engineering and Mechanics, Xiangtan University, Xiangtan 411105, China
*
Author to whom correspondence should be addressed.
Remote Sens. 2020, 12(1), 68; https://doi.org/10.3390/rs12010068
Received: 24 November 2019 / Revised: 18 December 2019 / Accepted: 20 December 2019 / Published: 23 December 2019
(This article belongs to the Special Issue Remote Sensing of Ionosphere Observation and Investigation)
The third generation of China’s BeiDou Navigation Satellite System (BDS-3) began to provide global services on 27 December, 2018. Differential code bias (DCB) is one of the errors in precise BDS positioning and ionospheric modeling, but the impacts on BDS-2 satellites and receiver DCB are unknown after joining BDS-3 observations. In this paper, the BDS-3 DCBs are estimated and analyzed using the Multi-Global Navigation Satellite System (GNSS) Experiment (MGEX) observations during the period of day of year (DOY) 002–031, 2019. The results indicate that the estimated BDS-3 DCBs have a good agreement with the products provided by the Chinese Academy of Sciences (CAS) and Deutsche Zentrum für Luft- und Raumfahrt (DLR). The differences between our results and the other two products are within ±0.2 ns, with Standard Deviations (STDs) of mostly less than 0.2 ns. Furthermore, the effects on satellite and receiver DCB after adding BDS-3 observations are analyzed by BDS-2 + BDS-3 and BDS-2-only solutions. For BDS-2 satellite DCB, the values of effect are close to 0, and the effect on stability of DCB is very small. In terms of receiver DCB, the value of effect on each station is related to the receiver type, but their mean value is also close to 0, and the stability of receiver DCB is better when BDS-3 observations are added. Therefore, there is no evident systematic bias between BDS-2 and BDS-2 + BDS-3 DCB. View Full-Text
Keywords: differential code bias (DCB); ionospheric modeling; Global Navigation Satellite System (GNSS); BDS-3 differential code bias (DCB); ionospheric modeling; Global Navigation Satellite System (GNSS); BDS-3
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Wang, Q.; Jin, S.; Yuan, L.; Hu, Y.; Chen, J.; Guo, J. Estimation and Analysis of BDS-3 Differential Code Biases from MGEX Observations. Remote Sens. 2020, 12, 68.

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