• DocumentCode
    2453066
  • Title

    Improving prediction precision of navigation satellite clocks with functional network

  • Author

    Wang, Ying ; Xu, Bo

  • Author_Institution
    Coll. of Astronaut., Nanjing Univ. of Aeronaut. & Astronaut., Nanjing, China
  • fYear
    2011
  • fDate
    19-21 Oct. 2011
  • Firstpage
    119
  • Lastpage
    124
  • Abstract
    In order to be utilized particularly in describing the periodic variation behavior of the navigation satellite clocks, a novel prediction method based on the functional network is proposed in this paper. The method of non-mechanism modeling is adopted, using the sliding window techniques and high non-linear mapping of functional network, which can access linear or nonlinear coupling characteristics of satellite clock behavior. The GPS satellites are taken for example, simulation results show that the prediction precision of the proposed method is even outperforms the IGU-P solutions at least on a daily basis.
  • Keywords
    Global Positioning System; neural nets; prediction theory; GPS satellite; IGU-P solution; access linear characteristics; functional network; high nonlinear mapping; navigation satellite clock; nonlinear coupling characteristics; nonmechanism modeling; periodic variation behavior; prediction precision; sliding window technique; utilized particularly; Clocks; Global Positioning System; Mathematical model; Neurons; Predictive models; Satellite broadcasting; Satellites; delay coordinates embedding; functional network; neural network; satellite clock error; sliding window technique;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Nature and Biologically Inspired Computing (NaBIC), 2011 Third World Congress on
  • Conference_Location
    Salamanca
  • Print_ISBN
    978-1-4577-1122-0
  • Type

    conf

  • DOI
    10.1109/NaBIC.2011.6089446
  • Filename
    6089446