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
Link To Document :
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