JOURNAL ARTICLE

ISAR for concealed objects imaging

Andrey ZhuravlevVladimir RazevigI. VasilievSergey IvashovViacheslav Voronin

Year: 2015 Journal:   Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE Vol: 9401 Pages: 94010I-94010I   Publisher: SPIE

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.

Keywords:
Inverse synthetic aperture radar Computer science Radar imaging Computer vision Computer graphics (images) Artificial intelligence Radar Telecommunications

Metrics

10
Cited By
1.46
FWCI (Field Weighted Citation Impact)
23
Refs
0.87
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Image and Object Detection Techniques
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
Forensic and Genetic Research
Life Sciences →  Biochemistry, Genetics and Molecular Biology →  Genetics
Biometric Identification and Security
Physical Sciences →  Computer Science →  Signal Processing
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