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Cluster Computing

, Volume 22, Supplement 3, pp 6693–6708 | Cite as

The quality analysis of GNSS satellite positioning data

  • Xiaoqing Zuo
  • Jinwei BuEmail author
  • Xiangxin Li
  • Jun Chang
  • Xiangmei Li
Article
  • 363 Downloads

Abstract

Focused on the Beidou satellite system (BDS), dual satellite system (GPS/GLONASS) and three satellite system (BDS/GPS/GLONASS), the parameters influencing the quality of static and real-time dynamic positioning date of the GNSS systems, such as the multipath effect, ionospheric delay, data utilization rate and signal-to-noise ratio, number of satellites and accuracy factor PDOP value, have been comparatively analyzed in this paper. The results of tests have shown that compared to the single satellite system BDS the average multipath errors (mp1 and mp2) of multi satellite system fusion decreased by 18 and 8% respectively, due to the increase in the number of visible satellites in multi-satellite fusion, it is possible to compensate each other to a certain extent, thus weakening the influence of the multipath effect on the positioning results. When the cut-off angle is greater than 40°, the single system cannot meet the need of navigation and positioning, however having more visible satellites than the single system it is possible for multi satellite system fusion to maintain lower and more stable PDOP value for high precision positioning services.

Keywords

BDS/GPS/GLONASS Multipath effect Ionospheric delay Signal to noise ratio Satellite visible number and PDOP value Quality analysis 

Notes

Acknowledgements

We wish to acknowledge the editor, associate editor, reviewers and anonymous referees for their essential contribution which have been very helpful in enhancing the quality of this paper. Yunnan Provincial University Engineering research center construction plan support.

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Copyright information

© Springer Science+Business Media, LLC, part of Springer Nature 2018

Authors and Affiliations

  • Xiaoqing Zuo
    • 1
  • Jinwei Bu
    • 1
    Email author
  • Xiangxin Li
    • 1
  • Jun Chang
    • 2
  • Xiangmei Li
    • 1
  1. 1.Faculty of Land Resources EngineeringKunming University of Science and TechnologyKunmingChina
  2. 2.Survey Team 1National Administration of Surveying, Mapping and GeoinformationXi’anChina

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