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author:

Gao, Yonggang (Gao, Yonggang.) [1] (Scholars:高永刚) | Wu, Guanye (Wu, Guanye.) [2] | Guo, Jinyun (Guo, Jinyun.) [3] | Jian, Wenbin (Jian, Wenbin.) [4] (Scholars:简文彬) | Lin, Chen (Lin, Chen.) [5]

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EI PKU CSCD

Abstract:

This work studied Precise Point Positioning (PPP) by using multi-system GNSS data with different-system combined forms according to the coordinates of the International GNSS Service (IGS) weekly solution. The work was also proceeded based on the data from the precise ephemeris and clocks of GBM products released by the Geo Forschungs Zentrum Potsdam (GFZ) and 8 IGS observation stations in the Asia-Pacific region. The optimal combination mode of multi-system combined PPP solution is obtained by taking the coordinates of the station in the IGS weekly solution as a reference. Simulation of dynamic multi system combination PPP shows that GPS positioning performed best in the single system, whereas dual system combination significantly improves the positioning performance compared with that of the single system. The GPS/GLONASS combination exhibits better positioning performance, while multi-system combination further increases the positioning accuracy. In particular, the accuracy in horizontal and vertical directions of GPS/GLONASS/BDS/Galileo is better than 2 and 3. 5 cm, respectively. Quantitative evaluation on the PPP solution results using the Post Processed Kinematic (PPK) results as a reference indicates that the GPS/GLONASS/BDS/Galileo combination has the best positioning performance. Comparisons from the static simulation dynamic results suggest that the positioning performance becomes slightly worse when the root mean square error (RMSE) of NEU in the three directions are 2. 24, 5. 27, 5. 8 centimeters, and the convergence time are 17. 08, 22. 35, 54. 08 minutes, respectively. © 2022, The Editorial Board of Journal of Basic Science and Engineering. All right reserved.

Keyword:

Global positioning system Mean square error Orbits Radio navigation

Community:

  • [ 1 ] [Gao, Yonggang]College of Environment and Safety Engineering, Fuzhou University, Fuzhou; 350116, China
  • [ 2 ] [Gao, Yonggang]Key Laboratory of Geohazard Prevention of Hilly Mountains, Ministry of Natural Resources (Fujian Key Laboratory Of Geohazard Prevention), Fuzhou; 350002, China
  • [ 3 ] [Gao, Yonggang]The Academy of Digital China(Fujian), Fuzhou; 350108, China
  • [ 4 ] [Wu, Guanye]The Academy of Digital China(Fujian), Fuzhou; 350108, China
  • [ 5 ] [Guo, Jinyun]College of Geodesy and Geomatics, Shandong University of Science and Technology, Qingdao; 266590, China
  • [ 6 ] [Jian, Wenbin]College of Environment and Safety Engineering, Fuzhou University, Fuzhou; 350116, China
  • [ 7 ] [Lin, Chen]College of Environment and Safety Engineering, Fuzhou University, Fuzhou; 350116, China

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Source :

Journal of Basic Science and Engineering

ISSN: 1005-0930

CN: 11-3242/TB

Year: 2022

Issue: 2

Volume: 30

Page: 501-518

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WoS CC Cited Count:

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ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 0

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