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, 22:33 | Cite as

GAMP: An open-source software of multi-GNSS precise point positioning using undifferenced and uncombined observations

  • Feng Zhou
  • Danan Dong
  • Weiwei Li
  • Xinyuan Jiang
  • Jens Wickert
  • Harald Schuh
GPS Toolbox

Abstract

As the number of GNSS satellites and stations increases, GNSS data processing software should be developed that is easy to operate, efficient to run, and has a robust performance. To meet these requirements, we developed a new GNSS analysis software called GAMP (GNSS Analysis software for Multi-constellation and multi-frequency Precise positioning), which can perform multi-GNSS precise point positioning based on undifferenced and uncombined observations. GAMP is a secondary development based on RTKLIB but with many improvements, such as cycle slip detection, receiver clock jump repair, and handling of GLONASS pseudorange inter-frequency biases. A simple, but unified format of output files, including positioning results, number of satellites, satellite elevation angles, pseudorange and carrier phase residuals, and slant Total Electron Content, is defined for results analysis and plotting. Moreover, a new receiver-independent data exchange format called RCVEX is designed to improve computational efficiency for post-processing.

Keywords

Multi-GNSS Precise point positioning (PPP) Undifferenced and uncombined observations Open-source software 

Notes

Acknowledgements

Feng Zhou is financially supported by the China Scholarship Council (CSC) for his study at the German Research Centre for Geosciences (GFZ). We thank the IGS for providing GNSS ground tracking data, DCBs, precise orbit, and clock products. We are also grateful for providing the SAPOS data via GFZ. Many thanks go to Dr. Shengli Wang for his valuable suggestions. The figures were generated using the public domain GMT software (Wessel et al. 2013). This work is sponsored by the National Key Research and Development Program of China (No. 2017YFE0100700), the Scientific Research Foundation of Shandong University of Science and Technology for Recruited Talents (No. 2017RCJJ074), the National Natural Science Foundation of China (Nos. 61372086, 41771475), and the Science and Technology Commission of Shanghai (Nos. 13511500300, 15511101602).

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Copyright information

© Springer-Verlag GmbH Germany, part of Springer Nature 2018

Authors and Affiliations

  • Feng Zhou
    • 1
    • 2
    • 3
  • Danan Dong
    • 1
    • 2
  • Weiwei Li
    • 4
  • Xinyuan Jiang
    • 3
    • 5
  • Jens Wickert
    • 3
    • 5
  • Harald Schuh
    • 3
    • 5
  1. 1.Engineering Center of SHMEC for Space Information and GNSSEast China Normal UniversityShanghaiChina
  2. 2.Shanghai Key Laboratory of Multidimensional Information ProcessingEast China Normal UniversityShanghaiChina
  3. 3.German Research Centre for Geosciences GFZTelegrafenberg, PotsdamGermany
  4. 4.College of GeomaticsShandong University of Science and TechnologyQingdaoChina
  5. 5.Technische Universität BerlinBerlinGermany

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