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Research on GNSS Multi-system Relative Positioning Algorithm

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Geo-informatics in Sustainable Ecosystem and Society (GSES 2018)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 980))

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Abstract

With the development of Global Navigation Satellite System (GNSS) technology, GNSS combination of the multi-frequency and multi-system application will become one of the main development trends of GNSS navigation and positioning. Multi-system combined positioning can not only greatly increase the number of available satellites, but also improve satellite space geometry and improve positioning accuracy and stability. Based on the GNSS multi-system baseline data processing theory, this paper studies the observations of GNSS multi-system combination positioning including the linear combinations, data preprocessing, function model of data combination, stochastic model, etc., and then uses the measured data to verify and analyze the experiment.

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Acknowledgments

The project was financially supported by the National Natural Science Foundation of China (no. 41404004).

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Authors and Affiliations

  1. School of Geomatics, Anhui University of Science and Technology, Taifeng Street 168, Huainan, 232001, China

    Yongchun Deng & Chao Liu

  2. Shanghai Tongyan Civil Engineering Technology Co., Ltd., Room 408, No. 1388 Siping Road, Yangpu District, Shanghai, China

    Shuaipeng Wang

Authors
  1. Yongchun Deng
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  2. Shuaipeng Wang
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  3. Chao Liu
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Corresponding author

Correspondence to Chao Liu .

Editor information

Editors and Affiliations

  1. Eastern Michigan University, Ypsilanti, MI, USA

    Yichun Xie

  2. Hebei University of Engineering, Handan, China

    Anbing Zhang

  3. Hebei University of Engineering, Handan, Hebei, China

    Haixin Liu

  4. Hebei University of Engineering, Handan, China

    Lili Feng

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Deng, Y., Wang, S., Liu, C. (2019). Research on GNSS Multi-system Relative Positioning Algorithm. In: Xie, Y., Zhang, A., Liu, H., Feng, L. (eds) Geo-informatics in Sustainable Ecosystem and Society. GSES 2018. Communications in Computer and Information Science, vol 980. Springer, Singapore. https://doi.org/10.1007/978-981-13-7025-0_43

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  • DOI: https://doi.org/10.1007/978-981-13-7025-0_43

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-13-7024-3

  • Online ISBN: 978-981-13-7025-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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