• DocumentCode
    621971
  • Title

    Galileo AltBoc signal acquisition with adaptive detection CFAR

  • Author

    Dehouche, S. ; Benachenhou, Kamel

  • Author_Institution
    Aeronaut. Dept. of BLIDA, Blida Univ., Blida, Algeria
  • fYear
    2013
  • fDate
    18-21 March 2013
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    The American Global Positioning System GPS had indeed monopolized the world of satellite navigation for several years; however, its military use, its limited accuracy and the voluntary degradation of the signal had pushed other countries to develop their own systems. The largest project of its kind in this field, would be, the European Galileo system. The aim of this work is the statistical modeling of the acquisition stage for the signal recently proposed for the European system Galileo AltBoc E5. In this context, a brief study of AltBoc signal is given, then, different architectures acquisition will be modeled and analyzed in a statistical framework with a fixe threshold. Then we propose an introduction of a Cell Averaging Constant False Alarm Rate (CA-CFAR) detector. The obtained theoretical results are validated by Monte-Carlo simulations.
  • Keywords
    Global Positioning System; Monte Carlo methods; signal detection; American Global Positioning System; CA-CFAR detector; European system Galileo AltBoc E5; GPS; Galileo AltBoc signal acquisition; Monte-Carlo simulation; adaptive detection CFAR; cell averaging constant false alarm rate detector; satellite navigation; signal voluntary degradation; statistical modeling; Computer architecture; Detectors; Global Navigation Satellite Systems; Global Positioning System; Irrigation; Microprocessors; Modulation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Systems, Signals & Devices (SSD), 2013 10th International Multi-Conference on
  • Conference_Location
    Hammamet
  • Print_ISBN
    978-1-4673-6459-1
  • Electronic_ISBN
    978-1-4673-6458-4
  • Type

    conf

  • DOI
    10.1109/SSD.2013.6564029
  • Filename
    6564029