• DocumentCode
    45250
  • Title

    Active Millimeter Wave Sensor for Standoff Concealed Threat Detection

  • Author

    Andrews, David A. ; Harmer, Stuart William ; Bowring, N.J. ; Rezgui, Nacer Ddine ; Southgate, M.J.

  • Author_Institution
    Centre for Sensing & Imaging, Manchester Metropolitan Univ., Manchester, UK
  • Volume
    13
  • Issue
    12
  • fYear
    2013
  • fDate
    Dec. 2013
  • Firstpage
    4948
  • Lastpage
    4954
  • Abstract
    We present a millimeter radar for threat level evaluation developed for the detection concealed threats, such as guns and person borne improvised explosive devices (PBIED). The system uses a Gaussian optic lens antenna to achieve stand-off ranges up to 25 m. Ultra-wideband swept frequency radar, using direct detection receivers, is implemented to achieve short radar range resolution . The system is capable of detecting a wide range of objects positioned in front of the body by interpretation of the scattered waveform. Threat detection is rendered autonomously by a neural network that processes the scattered polarimetric, depth domain radar waveforms. The system may be configured to alarm or reject certain classes of objects, allowing for the detection of specific or broad spectrum threats. The radar system is portable and manually steered by the operator to enable standoff monitoring of walking human targets in real time. A video feed provides the operator with a wide field of view that allows tracking of persons and greatly facilitates aiming of the sensor. Rapid (1 ms) radar sweep times and fast signal acquisition and processing are implemented to provide threat detection at video frame rates (30 fps). Performance parameters for the detection of hand-guns and simulated PBIED are presented for ranges up to 25 m.
  • Keywords
    Gaussian processes; electric sensing devices; electromagnetic wave scattering; lens antennas; millimetre wave antennas; millimetre wave radar; neural nets; radar antennas; radar detection; radar receivers; radar signal processing; rendering (computer graphics); signal detection; ultra wideband antennas; Gaussian optic lens antenna; PBIED simulation; active millimeter wave sensor; broad spectrum threats; concealed threat detection; depth domain radar waveforms; direct detection receivers; field of view; hand-guns detection; millimeter radar; neural network; person borne improvised explosive devices; polarimetric scattering; radar range resolution; radar sweep times; signal acquisition; signal processing; standoff concealed threat detection; ultra-wideband swept frequency radar; video feed; video frame rates; walking human targets; waveform scattering; Educational institutions; Imaging; Metals; Millimeter wave radar; Receivers; Torso; Concealed threat screening; Millimeter wave; radar; remote detection;
  • fLanguage
    English
  • Journal_Title
    Sensors Journal, IEEE
  • Publisher
    ieee
  • ISSN
    1530-437X
  • Type

    jour

  • DOI
    10.1109/JSEN.2013.2273487
  • Filename
    6560376