• DocumentCode
    2561767
  • Title

    Summary of Network RTK Reference Station Ambiguity Determination

  • Author

    Li, Si-Wei ; Wang, Yan ; Han, Yun

  • Author_Institution
    Fac. Of Inf. Eng., China Univ. of Geosci., Wuhan, China
  • fYear
    2010
  • fDate
    23-25 Sept. 2010
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    Three different methods of network RTK reference station ambiguity determination are introduced, summarized and evaluated in this paper: The three-step method to determine double-differenced ambiguities resolution of reference station includes wide-lane, narrow-lane ambiguity resolution and the ambiguities resolution of carrier phase L1 and L2. The second method uses Kalman filtering, the C/A code and the ionosphere-free combination to solve wide-lane ambiguitie, and uses multi-path effects of the cyclical weaken multipath C/A code. The ambiguity of carrier phase on L1 band can be quickly fixed using Kalman filtering and ambiguity decorrelation algorithm based on the wide-lane ambiguity solution. The last kind of method is based on regularization principle, the thought of selected weight fitting and precisely known the reference station coordinates, to work out the regularized matrix, which can mitigate the ill-condition of the normal matrix. The relative float ambiguity can be computed only using several epochs´ data. Combined with the LAMBDA method, the approach can fix the ambiguity correctly and quickly.
  • Keywords
    Global Positioning System; Kalman filters; decorrelation; Kalman filtering; ambiguity decorrelation algorithm; network RTK reference station ambiguity determination; three-step method; weight fitting; wide-lane ambiguity solution; Delay; Equations; Global Positioning System; Kalman filters; Mathematical model; Noise; Satellites;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Wireless Communications Networking and Mobile Computing (WiCOM), 2010 6th International Conference on
  • Conference_Location
    Chengdu
  • Print_ISBN
    978-1-4244-3708-5
  • Electronic_ISBN
    978-1-4244-3709-2
  • Type

    conf

  • DOI
    10.1109/WICOM.2010.5601057
  • Filename
    5601057