• DocumentCode
    1906588
  • Title

    Detection and classification of objects from their radio shadows of GPS signals

  • Author

    Kabakchiev, Chr ; Garvanov, I. ; Behar, V. ; Kabakchieva, D. ; Kabakchiev, K. ; Rohling, H. ; Kulpa, K. ; Yarovoy, A.

  • Author_Institution
    Sofia Univ., Sofia, Bulgaria
  • fYear
    2015
  • fDate
    24-26 June 2015
  • Firstpage
    906
  • Lastpage
    911
  • Abstract
    The paper focuses on scientific issues related to new application of GPS in radar networks using the effect of Forward Scattering (FS) of electromagnetic waves to detect, locate and classify objects by their GPS radio shadows. The aim of the paper is to make experimental studies of GPS radio shadows of different objects irradiated by GPS signals and to develop methods and algorithms for automatic detection, estimation and classification of the shadows of these objects. The practical utility of the results obtained is to use a specific processing of the received signal in the GPS receiver, then to use the extracted information for positioning and classification of moving objects; for accurate assessment of the geographic location of fixed objects by method triangulation in systems for transport management, security of zones, subsequent identification of the detected objects from digital geographical maps.
  • Keywords
    Global Positioning System; electromagnetic wave scattering; mesh generation; object detection; radar receivers; radar signal processing; FS; GPS radio shadow; GPS receiver; digital geographical map; electromagnetic wave forward scattering; moving object positioning; object classification; object detection; object shadow estimation; radar network; received signal processing; transport management; Global Positioning System; Object detection; Radar; Receivers; Roads; Satellite broadcasting; Satellites;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Radar Symposium (IRS), 2015 16th International
  • Conference_Location
    Dresden
  • Type

    conf

  • DOI
    10.1109/IRS.2015.7226336
  • Filename
    7226336