Acta Geodaetica et Cartographica Sinica ›› 2016, Vol. 45 ›› Issue (S2): 1-11.doi: 10.11947/j.AGCS.2016.F020

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Model and Performance Analysis of Tightly Combined BeiDou B2 and Galileo E5b Relative Positioning for Short Baseline

ZHANG Xiaohong1,2,3, WU Mingkui1, LIU Wanke1,2,3   

  1. 1. School of Geodesy and Geomatics, Wuhan University, Wuhan 430079, China;
    2. Collaborative Innovation Centre for Geospatial Technology, Wuhan 430079, China;
    3. Research Center of Positioning and Navigation Technology, School of Geodesy and Geomatics, Wuhan University, Wuhan 430079, China
  • Received:2016-11-25 Revised:2016-12-20 Online:2017-01-31 Published:2017-05-20
  • Supported by:

    The National Key Research and Development Program of China (No. 2016YFB0501803), The National Nature Science Foundation of China (No. 91638203), and The Natural Science Foundation for Distinguished Young Scholar of Hubei Province (No. 2015CFA039)

Abstract:

With the modernization of GPS and GLONASS, and construction of Galileo and BeiDou, multi-frequency multi-GNSS is a trend. For the first time this paper investigates the model, algorithm, and performance of tightly combined relative positioning using BeiDou B2 and Galileo E5b observations for short baselines. The model and algorithm was first deduced in detail. Then the long stability of between-receivers differential inter-system bias (DISB) between BeiDou B2 and Galileo E5b observations was analyzed emphatically. It is shown that for baselines with identical receivers (the same firmware version), the DISB is close to zero; for baselines with different receiver types, the DISB is significant but with long stability, which allows for a-prior calibration of these DISBs. Finally, the performance of tightly combined positioning was evaluated using single frequency BeiDou B2 and Galileo E5b observations in an instantaneous approach. It is demonstrated that the DISB corrected tightly combined model can significantly improve the ambiguity resolution performance with respect to the loosely combined model. The improvement can be especially significant (10%~25%) under environments where the navigation signals are serious blocked or the observed satellite for each system is limited.

Key words: Beidou(BDS), Galileo, tightly combined, differential inter-system bias(DISB), relative positioning

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