GNSS Precise Point Positioning Algorithm Based on Parameter Equivalent Reduction Principle

  • Guanwen Huang
  • Yuanxi Yang
  • Chao Liu
  • Qin Zhang
  • Shuangcheng Zhang
Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 244)

Abstract

The standard GNSS combined PPP algorithm cannot be used satisfactorily in the real-time and high frequency precise positioning because of its low compute efficiency. A new algorithm based on the parameter equivalent reduction principle is proposed. First, the observations equation and the normal equation which belong to the single navigation system can be solved independently. Second, the normal equations of overlapping parameters between the different systems can be obtained by using parameter equivalent reduction principle. At last, the combined PPP resolutions can be computed easily by using the Least Squares method. The proposed algorithm can improve the calculating efficiency immensely. In addition, an adaptively combined method which can automatically adjusts the contributed weight of different GNSS systems is also proposed in this paper. The numerical examples using the data set of three IGS stations, show that the PPP precisions and efficiencies based on the proposed model have been improved significantly compared with those of standard model. This proposed principle can also be applied in the GNSS precise satellite clock determination and the indifference baseline network adjustment plus the GNSS time offset monitoring.

Keywords

Parameter reduction PPP Combined positioning GPS/GLONASS 

Notes

Acknowledgments

This study was supported by National Natural Science Foundation of China (Grant No. 41020144004, 40902081, 41104019 and 41104022), the Special Fund for Basic Scientific Research of Central Colleges (Grant No. CHD2010ZY001, No. CHD2011ZY023, Chang’an University).

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Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • Guanwen Huang
    • 1
  • Yuanxi Yang
    • 2
    • 3
  • Chao Liu
    • 4
  • Qin Zhang
    • 1
  • Shuangcheng Zhang
    • 1
  1. 1.College of Geology Engineering and GeomanticChang’an UniversityXi’anChina
  2. 2.China National Administration of GNSS and ApplicationsBeijingChina
  3. 3.State Key Laboratory of Geographic Information EngineeringXi’anChina
  4. 4.College of Geology Engineering and Geomantic, Chang′an UniversityXi′anChina

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