• DocumentCode
    3299300
  • Title

    Improved Grey Model and Application in Real-Time GPS Satellite Clock Bias Prediction

  • Author

    Zuoya Zheng ; Xiushan Lu ; Yongqi Chen

  • Author_Institution
    Geomaties Coll., Shandong Univ. of Sci. & Technol., Qingdao
  • Volume
    2
  • fYear
    2008
  • fDate
    18-20 Oct. 2008
  • Firstpage
    419
  • Lastpage
    423
  • Abstract
    It is difficult to hold the performance of space-borne GPS satellite atomic clock because of the property of high-frequency, sensitivity and impressionable, it is accord with that of grey model (GM), we can look on the process of satellite clock bias (SCB) as that of grey system.Real-time and reliable SCB prediction is a key to implement real time GPS precise point positioning (PPP). Firstly, based on the limits of quadratic polynomial (QP) and conventional GM, a modified GM is put forward, and taking GPS SCB for example, analyzed SCB prediction with different sample interval, the relationship of GM exponent coefficient (EC) and prediction precision, comparison precision to that of QP; finally, to test the reliability and validation of the modified GM, we analyzed the prediction precision with the modified GM, It is showed that the modified GM is validation to predict GPS SCB.
  • Keywords
    Global Positioning System; atomic clocks; grey systems; GM exponent coefficient; atomic clock; grey model; precise point positioning; prediction precision; quadratic polynomial; real-time GPS satellite clock bias prediction; Atomic clocks; Computational modeling; Educational institutions; Global Positioning System; Polynomials; Predictive models; Quadratic programming; Satellites; Space technology; Testing; Exponent Coefficient (EC); GPS Satellite Clock Bias (SCB); Grey Model (GM); Quadratic Polynomial (QP); Real-time Prediction;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Natural Computation, 2008. ICNC '08. Fourth International Conference on
  • Conference_Location
    Jinan
  • Print_ISBN
    978-0-7695-3304-9
  • Type

    conf

  • DOI
    10.1109/ICNC.2008.630
  • Filename
    4667029