• DocumentCode
    492091
  • Title

    An Improved Differential Algorithm for GPS Static Positioning

  • Author

    Qiuting, Wang ; Xiuling, Hu

  • Author_Institution
    Dept. of Electron. & Inf. Eng., Huazhong Univ. of Sci. & Technol., Wuhan
  • fYear
    2008
  • fDate
    21-22 Dec. 2008
  • Firstpage
    58
  • Lastpage
    61
  • Abstract
    This study optimizes the GPS static positioning algorithm based on only four observable satellites. An improved differential algorithm is proposed after analyzing the disadvantages of the classical algorithm and the limitation of traditional differential algorithm. The linear equations are built and solved directly using pseudorange measurement from four observable satellites. The data conclude two neighboring epoch data from a best-position satellite and the data from other three satellites in current epoch. The best-position satellite is chosen based on improved satellite-selecting algorithm. The experimental result indicates that our new algorithm requires no derivative and iterative calculation procedures. Comparing to the traditional algorithm, the problem for GPS worse positioning situation with only four observable satellites is solved without lowering the positioning accuracy. This new algorithm is significantly important to the study of GPS static positioning algorithm based on pseudocode measurement.
  • Keywords
    Global Positioning System; iterative methods; linear differential equations; GPS static positioning; Global Positioning System; improved differential algorithm; iterative calculation procedure; linear equations; pseudocode measurement; satellite-selecting algorithm; Algorithm design and analysis; Differential equations; Extraterrestrial measurements; Global Positioning System; Iterative algorithms; Nonlinear equations; Orbits; Position measurement; Satellite navigation systems; Velocity measurement; GPS; differential algorithm; psuedocode; psuedorange; satellite-selecting algorithm;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Knowledge Acquisition and Modeling Workshop, 2008. KAM Workshop 2008. IEEE International Symposium on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-1-4244-3530-2
  • Electronic_ISBN
    978-1-4244-3531-9
  • Type

    conf

  • DOI
    10.1109/KAMW.2008.4810424
  • Filename
    4810424