• DocumentCode
    2958802
  • Title

    High-resolution weighted range point migration method for fast 3-dimensional imaging with ultra wideband radar

  • Author

    Sakamoto, Takanori ; Sato, Takao ; Aubry, Pascal ; Yarovoy, Alexander

  • Author_Institution
    Grad. Sch. of Inf., Kyoto Univ., Kyoto, Japan
  • fYear
    2013
  • fDate
    April 29 2013-May 3 2013
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    Revised range point migration is a fast, noise-tolerant technology for ultra wide-band imaging. One important application of this technology is security systems to detect concealed weapons in security-controlled places such as train stations or airports. Such systems require higher resolution to distinguish weapons from benign objects or artifacts. In this paper, we propose a modified weighting function for the range point migration method that suppresses sharp amplitude changes due to the interference of multiple scattering waveforms. We apply the proposed method to numerical data to investigate its resolution and performance. We then apply the method to measurement data, which were obtained from a mannequin to demonstrate its imaging capability in a realistic scenario. By introducing this weighting function, results show remarkable improvement in resolution and image quality.
  • Keywords
    electromagnetic wave scattering; image resolution; interference suppression; object detection; radar imaging; ultra wideband radar; waveform analysis; weapons; 3D imaging; artifact; concealed weapon detection; image quality; image resolution; multiple scattering waveform interference; noise tolerant technology; range point migration method; security controlled place; security system; sharp amplitude change suppression; ultra wideband radar; weighting function; Antenna measurements; Antennas; Image resolution; Imaging; Interference; Radar imaging; Ultra wideband radar;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Radar Conference (RADAR), 2013 IEEE
  • Conference_Location
    Ottawa, ON
  • ISSN
    1097-5659
  • Print_ISBN
    978-1-4673-5792-0
  • Type

    conf

  • DOI
    10.1109/RADAR.2013.6585985
  • Filename
    6585985