Experimental results for standoff detection of concealed body-worn explosives using millimeter-wave radar and limited view ISAR processing

Fernandes, Justin L.; Rappaport, Carey M.; Martínez-Lorenzo, José Ángel; Hagelen, Manfred

doi:10.1109/ths.2009.5168072

Cited by 21 publications

(12 citation statements)

References 3 publications

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“…More details on the implementation of the proposed SAR reconstruction can be found in previous work [5,6].…”

Section: Effect Of the Dielectric Constant In The Sar Imagementioning

confidence: 99%

“…For this configuration, the field E(f l , r t , r p r ) scattered by the domain under test when transmitting from a point r t with the frequency f l is measured at the p-th point placed in r p r . For a given two-dimensional reconstruction domain, the SAR image of the pixel placed in r s u is calculated from the field as [1,5]:…”

Section: Effect Of the Dielectric Constant In The Sar Imagementioning

confidence: 99%

“…A wide range of electromagnetic imaging techniques have been applied in order to detect and identify objects placed under clothing [1][2][3][4][5][6][7][8][9][10]. Terahertz waves [8], and X-ray [9,10] have shown their feasibility.…”

Section: Introductionmentioning

confidence: 99%

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Sar Processing for Profile Reconstruction and Characterization of Dielectric Objects on the Human Body Surface

González-Valdés¹,

Álvarez-López²,

Martínez-Lorenzo³

et al. 2013

PIER

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Abstract-Contour reconstruction and accurate identification of dielectric objects placed on a conducting surface are the aims of the millimeter-wave Synthetic Aperture Radar (SAR) imaging processing system presented in this paper. The method uses multiple frequencies, multiple receivers and one transmitter in a portal-based configuration in order to generate the SAR image. Then, the information in the image is used to estimate the contour of the body under test together with the permittivity of the dielectric region. The results presented in this paper are based on synthetic scattered electromagnetic field data generated using an accurate Finite-Difference Frequency-Domain (FDFD)-based model and inversion based on a fast SAR inversion algorithm. Representative examples showing the good behavior of the method in terms of detection accuracy are provided.

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“…More details on the implementation of the proposed SAR reconstruction can be found in previous work [5,6].…”

Section: Effect Of the Dielectric Constant In The Sar Imagementioning

confidence: 99%

Section: Effect Of the Dielectric Constant In The Sar Imagementioning

confidence: 99%

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Sar Processing for Profile Reconstruction and Characterization of Dielectric Objects on the Human Body Surface

González-Valdés¹,

Álvarez-López²,

Martínez-Lorenzo³

et al. 2013

PIER

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“…Successful SAR imaging of suicide bombers wearing concealed metallic structures has been demonstrated previously by our research group [10][11][12]. It has been shown that a person without metallic pipes produces an SAR image that contains relatively smooth variation on the pixel intensity across the torso of the subject.…”

Section: Introductionmentioning

confidence: 98%

Sar Imaging of Suicide Bombers Wearing Concealed Explosive Threats

Martínez-Lorenzo¹,

Quivira²,

Rappaport³

2012

PIER

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Abstract-This paper deals with the problem of detecting potential suicide bombers wearing concealed metallic and dielectric objects. The data produced by Millimeter-Wave-Radar system, working on a Multiple Frequency-Multiple Transmitters and Multiple Receivers configuration (MF-MTMR), is synthetically generated by an electromagnetic code based on Finite Differences Frequency Domain (FDFD) method. The numerical code provides the scattered field produced by the subject under test, which is later processed by using a multiple bistatic Synthetic Aperture Radar (SAR) algorithm. The blurring effect produced by the Point Spread Function (PSF) in the SAR image is removed by applying a regularized deconvolution algorithm that uses only magnitude information (no phase). Finally, the SAR algorithm and the deconvolution procedure are tested on a person wearing metallic and dielectric objects. The SAR response of dielectric rods is quite different from the metallic pipes. Our algorithm not only distinguishes between cases but also is capable of estimating the dielectric constant of the rods. Each constitutive parameter directly maps to the dielectric constant of explosive compounds, such as TNT or RDX, making feasible the detection of potential suicide bombers.

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“…A wide range of electromagnetic imaging techniques has been applied for the detection and identification of objects placed under clothing [1][2][3][4][5][6][7][8][9]. One of the most effective ways of detecting whether a person is carrying hidden items is by means of high-accuracy human body torso imaging.…”

Section: Introductionmentioning

confidence: 99%

SAR imaging-based techniques for Low Permittivity Lossless Dielectric Bodies Characterization

Álvarez

González-Valdés

Martínez-Lorenzo

et al. 2015

IEEE Antennas Propag. Mag.

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The following contribution aims to test two synthetic aperture radar (SAR)-image-based techniques to obtain geometry and constitutive parameter information about low-permittivity lossless dielectric materials. While characterization of high-permittivity dielectrics is relatively affordable in SAR images, the low amount of power reflected back by lowpermittivity bodies makes their characterization a challenging task. The first proposed technique combines two illumination angles (normal and 45 ) to overcome the permittivity-geometry uncertainty appearing on each independent case. The second method makes use of the relationship between reflection coefficient amplitudes between two media, which can be directly extracted from the SAR image to provide an estimation of the dielectric object permittivity. Uncertainty of both techniques can be reduced by properly combining them. We validate these methods using a simulation-based application example in the form of a millimeter-wave portal-based system for concealed-object detection.

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Experimental results for standoff detection of concealed body-worn explosives using millimeter-wave radar and limited view ISAR processing

Cited by 21 publications

References 3 publications

Sar Processing for Profile Reconstruction and Characterization of Dielectric Objects on the Human Body Surface

Sar Processing for Profile Reconstruction and Characterization of Dielectric Objects on the Human Body Surface

Sar Imaging of Suicide Bombers Wearing Concealed Explosive Threats

SAR imaging-based techniques for Low Permittivity Lossless Dielectric Bodies Characterization

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