• DocumentCode
    548221
  • Title

    Cycle Slips Detection and Repairing to GPS Phase Observation Based on Sym4 Wavelet

  • Author

    Wang, Bo ; Chen, Deli ; Bian, Hefang

  • Author_Institution
    Station of Quality Check & Supervision to Survey Product, Qinghai Bur. of Surveying & Mapping, Xi´´ning, China
  • Volume
    1
  • fYear
    2011
  • fDate
    14-15 May 2011
  • Firstpage
    329
  • Lastpage
    333
  • Abstract
    Processing for cycle slips is one of the most troublesome problems during GPS data preprocessing, firstly the paper analyzes briefly the reason to cycle slips and its characteristics and then analyzes and illustrates it is feasible to detect cycle slips by the wavelet technology combined with simulation experiment. Secondly, the author does the experiment of detecting cycle slips with different wavelets to determine optimal wavelet function. Experiment shows the wavelet of Sym4 is optimal to detect cycle slips precisely regardless of little cycle slips or many cycle slips and can repair 1 cycle slip correctly and precisely at least combined with polynomial fitting in order 2.So the authors think of detecting cycle slips based on wavelet technology as an undoubtedly effective method during practical GPS data preprocessing with predominance in higher automatization positioning in accuracy and intuitionism.
  • Keywords
    Global Positioning System; wavelet transforms; GPS data preprocessing; GPS phase observation; Sym4 wavelet; cycle slips detection; cycle slips repair; optimal wavelet function; Fitting; Global Positioning System; Maintenance engineering; Polynomials; Wavelet analysis; Wavelet transforms; GPS; cycle slips detection; optimal wavelet; polynomial fitting;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Multimedia and Signal Processing (CMSP), 2011 International Conference on
  • Conference_Location
    Guilin, Guangxi
  • Print_ISBN
    978-1-61284-314-8
  • Electronic_ISBN
    978-1-61284-314-8
  • Type

    conf

  • DOI
    10.1109/CMSP.2011.73
  • Filename
    5957434