• DocumentCode
    1983068
  • Title

    GPS Single Point Positioning Algorithm Based on Least Squares

  • Author

    Anhong Tian ; Dechun Dong ; Deqiong Ning ; Chengbiao Fu

  • Author_Institution
    Dept. of Comput. Sci. & Eng., Qujing Normal Coll., Qujing, China
  • Volume
    2
  • fYear
    2013
  • fDate
    28-29 Oct. 2013
  • Firstpage
    16
  • Lastpage
    19
  • Abstract
    In our daily life, we need to get the accurate location information by GPS(Global Positioning System) receiver, GPS system is based on pseudo-range measurement, and there is four unknown parameter, but the navigation observation equation is nonlinear. The nonlinear equation can be solved by least squares iterative algorithm, the algorithm is based on linearization by Taylor model. The paper gives an overview of nonlinear least squares method, and presents GPS satellite pseudo-range observation equations by true GPS receiver, the simulation results show that weighted least squares iterative algorithm is simple, fast, and accurate, the localization error can meet the demands of positioning accuracy.
  • Keywords
    Global Positioning System; iterative methods; least squares approximations; linearisation techniques; nonlinear equations; GPS receiver; GPS satellite pseudorange observation equations; GPS single point positioning algorithm; GPS system; Global Positioning System receiver; Taylor model; linearization; localization error; location information; navigation observation equation; nonlinear equation; nonlinear least squares method; positioning accuracy; pseudorange measurement; weighted least squares iterative algorithm; Algorithm design and analysis; Equations; Global Positioning System; Mathematical model; Receivers; Satellites; Signal processing algorithms; GPS; linearization; pseudo-range; weighted least squares iterative algorithm;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence and Design (ISCID), 2013 Sixth International Symposium on
  • Conference_Location
    Hangzhou
  • Type

    conf

  • DOI
    10.1109/ISCID.2013.119
  • Filename
    6804818