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Realization of Real Time Kinematic Positioning Software Based on Kalman Filter

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China Satellite Navigation Conference (CSNC) 2015 Proceedings: Volume I

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 340))

Abstract

As an important optimization estimation theory, Kalman filter is applied to deal with many kinds of dynamic data, especially for GPS data and inertial navigation data. In this paper, the Kalman filter is used to solve the two key problems-integer ambiguity calculation and cycle slip detection and correction, and then a real time kinematic (RTK) positioning technique based on Kalman filter is proposed. The experimental results show that the presented method can obtain the positioning accuracy of RTK up to centimeter for data format in GPS.

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References

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Author information

Authors and Affiliations

  1. The 20th Research Institute of CETC, Xian, 710068, China

    Dangwei Wang & Yi Lai

Authors
  1. Dangwei Wang
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  2. Yi Lai
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Corresponding author

Correspondence to Dangwei Wang .

Editor information

Editors and Affiliations

  1. China Aerospace Sci. & Technology Corp., Chinese Academy of Sciences, Beijing, China

    Jiadong Sun

  2. Wuhan University, Wuhan, China

    Jingnan Liu

  3. China Satellite Navigation Office, Beijing, China

    Shiwei Fan

  4. Chinese Academy of Sciences, Beijing, China

    Xiaochun Lu

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© 2015 Springer-Verlag Berlin Heidelberg

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Wang, D., Lai, Y. (2015). Realization of Real Time Kinematic Positioning Software Based on Kalman Filter. In: Sun, J., Liu, J., Fan, S., Lu, X. (eds) China Satellite Navigation Conference (CSNC) 2015 Proceedings: Volume I. Lecture Notes in Electrical Engineering, vol 340. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-46638-4_7

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  • DOI: https://doi.org/10.1007/978-3-662-46638-4_7

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-662-46637-7

  • Online ISBN: 978-3-662-46638-4

  • eBook Packages: EngineeringEngineering (R0)

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