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Trajectory Reckoning Method Based on BDS Attitude Measuring and Point Positioning

  • Liangbo Xie
  • Shuai LuEmail author
  • Mu Zhou
  • Yi Chen
  • Xiaoxiao Jin
Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 516)

Abstract

The traditional outdoor integrated positioning and navigation system is normally suffered by the disadvantages of accumulative error and high power consumption. To solve this problem, we propose a new trajectory reckoning method which use the BeiDou system (BDS) to conduct the attitude measuring and point positioning with respect to the target. In concrete terms, the target location is estimated by solving the pseudo-range observation equation, while the attitude angle is obtained from the dual-difference pseudo-range and carrier phase observation equations. Then, the trajectory of the target is constructed based on the estimated location and associated attitude angle. Finally, the extensive experimental results demonstrate the effectiveness of the proposed trajectory reckoning method with the BDS attitude measuring and point positioning.

Keywords

BeiDou System Trajectory reckoning Attitude measuring Point positioning Carrier phase 

Notes

Acknowledgments

This work is supported in part by the National Natural Science Foundation of China (61771083, 61704015), Program for Changjiang Scholars and Innovative Research Team in University (IRT1299), Special Fund of Chongqing Key Laboratory (CSTC), Fundamental Science and Frontier Technology Research Project of Chongqing (cstc2017jcyjAX0380, cstc2015jcyjBX0065), Scientific and Technological Research Foundation of Chongqing Municipal Education Commission (KJ1704083), and University Outstanding Achievement Transformation Project of Chongqing (KJZH17117).

References

  1. 1.
    Fan S, Zhang K, Wu F. Ambiguity resolution in GPS-based, low-cost attitude determination. Positioning. 2005;4(1):207–14.CrossRefGoogle Scholar
  2. 2.
    Noureldin A, El-Shafie A, Bayoumi M. GPS/INS integration utilizing dynamic neural networks for vehicular navigation. Inf Fusion. 2001;12(1):48–57.CrossRefGoogle Scholar
  3. 3.
    Chen J, Yue DJ, Zhao XW, Wang J. BDS/GPS combined single epoch baseline solution method. J Surv Mapp Sci Technol. 2017;34(3):232–5.Google Scholar
  4. 4.
    Wu JJ, Qian F. Research on directional posture method of multiple information fusion. Electron Meas Technol. 2012;35(2):41–5.Google Scholar
  5. 5.
    Yang C, Li RZ, Li Y. The application of GIS-based positioning correction in vehicle-borne inertial navigation system. Telemetry Remote Control. 2015;36(3):70–4.MathSciNetGoogle Scholar
  6. 6.
    Mosavi MR, Azarshahi S, Emamgholipour I, et al. Least squares techniques for BDS receivers positioning filter using pseudo-range and carrier phase measurements. Iran J Electr Electron Eng. 2014;10(1):18–26.Google Scholar
  7. 7.
    Park C, Teunissen PJG. Integer least squares with quadratic equality constraints and its application to GNSS attitude determination systems. Int J Control Autom Syst. 2009;7(4):566–76.CrossRefGoogle Scholar
  8. 8.
    Wang JM, Ma TM, Zhu HZ. Improved LAMBDA algorithm to quickly resolve BDS dual-frequency integer ambiguities. Syst Eng Theory Pract. 2010;37(3):768–72.Google Scholar
  9. 9.
    Xie G. GPS principle and receiver design. Electronic Industry Press; 2011. p. 101–2.Google Scholar
  10. 10.
    He JL, Liu ZM. Beidou navigation satellite position calculation method. Glob Positioning Syst. 2013;38(5):5–10.Google Scholar

Copyright information

© Springer Nature Singapore Pte Ltd. 2020

Authors and Affiliations

  • Liangbo Xie
    • 1
  • Shuai Lu
    • 1
    Email author
  • Mu Zhou
    • 1
  • Yi Chen
    • 1
  • Xiaoxiao Jin
    • 1
  1. 1.Chongqing Key Lab of Mobile Communications TechnologyChongqing University of Posts and TelecommunicationsChongqingPeople’s Republic of China

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