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Proceedings Paper

ISAR for concealed objects imaging
Author(s): A. Zhuravlev; Vladimir Razevig; I. Vasiliev; S. Ivashov; V. Voronin
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Paper Abstract

A new promising architecture of microwave personnel screening system is analyzed in this paper with numerical simulations. This architecture is based on the concept of inverse aperture synthesis applied to a naturally moving person. The extent of the synthetic aperture is formed by a stationary vertical linear antenna array and by a length of subject’s trajectory as he moves in the vicinity of this antenna array. The coherent radar signal processing is achieved by a synchronous 3D video-sensor whose data are used to track the subject. The advantages of the proposed system architecture over currently existing systems are analyzed. Synthesized radar images are obtained by numerical simulations with a human torso model with concealed objects. Various aspects of the system architecture are considered, including: advantages of using sparse antenna arrays to decrease the number of antenna elements, the influence of positioning errors of body surface due to outer clothing. It was shown that detailed radar images of concealed objects can be obtained with a narrow-band signal due to the depth information available from the 3D video sensor. The considered ISAR architecture is considered perspective to be used on infrastructure objects owing to its superior qualities: highest throughput, small footprint, simple design of the radar sub-system, non-required co-operation of the subject.

Paper Details

Date Published: 13 March 2015
PDF: 15 pages
Proc. SPIE 9401, Computational Imaging XIII, 94010I (13 March 2015); doi: 10.1117/12.2081761
Show Author Affiliations
A. Zhuravlev, Bauman Moscow State Technical Univ. (Russian Federation)
Vladimir Razevig, Bauman Moscow State Technical Univ. (Russian Federation)
I. Vasiliev, Bauman Moscow State Technical Univ. (Russian Federation)
S. Ivashov, Bauman Moscow State Technical Univ. (Russian Federation)
V. Voronin, Don State Technical Univ. (Russian Federation)


Published in SPIE Proceedings Vol. 9401:
Computational Imaging XIII
Charles A. Bouman; Ken D. Sauer, Editor(s)

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