Electromagnetic Imaging Method Based on Time Reversal Processing Applied to Through-the-Wall Target Localization

Maaref, Nadia; Millot, Patrick; Ferrières, X.; Pichot, Christian; Picon, and Odile

doi:10.2528/pierm08013002

Cited by 29 publications

(25 citation statements)

References 14 publications

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“…Examples of applications include earthquake and fire rescue operations, police search operations, homeland security, and military applications as reported in several work in the literature [1][2][3][4][5][6][7][8][9][10][11][12][13][14][15][16][17][18][19]. The reported results in [1][2][3][4][5][6][7][8][9][10][11][12][13][14][15][16][17] were based on permittivity reconstruction of hidden objects behind a wall, while works in [18][19][20] were focused on the shape reconstruction of hidden objects.…”

Section: Introductionmentioning

confidence: 99%

The Level Set Shape Reconstruction Algorithm Applied to 2d Pec Targets Hidden Behind a Wall

Hajihashemi¹,

El-Shenawee²

2010

PIER B

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Abstract-The level set algorithm is extended to handle the reconstruction of the shape and location of objects hidden behind a dielectric wall. The Green's function of stratified media is used to modify the method of moments and the surface integral equation forward solver. Due to the oscillatory nature of the Sommerfeld integrals, the stationary phase approximation is implemented here to achieve fast and accurate reconstruction results, especially when the targets are located adequately far from the wall. Transverse Magnetic (TM) plane waves are employed for excitation with limited view for transmitting and receiving the waves in the far field at one side of the wall. The results show the capability of the level set method for retrieving the shape and location of multiple 2D PEC objects of arbitrary shapes even when there are located at a small distance from the wall. To reduce the computational expenses of the algorithm in the case of multiple hidden objects, the MPI parallelization technique is implemented leading to a reduction in the CPU time from hours on a single processor to few minutes using 128 processors on the NCSA Supercomputer Center.

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Section: Introductionmentioning

confidence: 99%

The Level Set Shape Reconstruction Algorithm Applied to 2d Pec Targets Hidden Behind a Wall

Hajihashemi¹,

El-Shenawee²

2010

PIER B

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“…It utilizes a motion detection filter (which is a high pass filter in essence) to filter out stationary clutter. Recently, UWB TR has been applied in through-wall imaging [32,33] and differential TR for through-wall moving targets localization was briefly considered in [33,34].…”

Section: Introductionmentioning

confidence: 99%

Imaging and tracking of targets in clutter using differential time-reversal techniques

Fouda

Teixeira

2012

Waves in Random and Complex Media

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Two time-reversal algorithms for identifying, imaging, and tracking moving targets in clutter are introduced. The first algorithm classifies existing scatterers into stationary vs. moving targets. Multistatic data matrices (MDMs) corresponding to successive radar acquisitions (snapshots) of the scene are recorded. Singular value decomposition of the (time-)averaged MDM provides information on stationary targets, whereas singular value decomposition of the differential MDM provides information on moving targets. The second algorithm yields real-time selective tracking of each moving target by means of differential time-reversal. It requires minimal processing and memory resources, and exploits distinctive features of timereversal such as statistical stability and superresolution. Numerical simulations are used to illustrate the capabilities of the proposed algorithms in different scenarios involving clutter from discrete secondary scatterers and from inhomogeneous random medium backgrounds.

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“…As explained in Section 3, the propagating time-reversed signals focus on the scatterers in the medium and hence detect and locate the targets. Similar to [26,28], the electric field energy density (in units of 1 2 0 ) was calculated using the expression…”

Section: Resultsmentioning

confidence: 99%

A Novel Time Reversal Based Microwave Imaging System

Tayebi

Paladhi

Удпа³

et al. 2016

PIER C

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Abstract-This paper presents an alternate microwave imaging system that greatly reduces design and operation complexities compared to traditional imaging systems. At the heart of this novel system lies an electronically reconfigurable beam-scanning reflectarray antenna. The high tuning capability of the reflectarray provides us a broad steering range of ±60 • . The beam is steered across this range and the scattered field is recorded. The collected data are used for image reconstruction by means of the time reversal signal processing technique. Experimental results of the detection of various dielectric targets are presented.

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Electromagnetic Imaging Method Based on Time Reversal Processing Applied to Through-the-Wall Target Localization

Cited by 29 publications

References 14 publications

The Level Set Shape Reconstruction Algorithm Applied to 2d Pec Targets Hidden Behind a Wall

The Level Set Shape Reconstruction Algorithm Applied to 2d Pec Targets Hidden Behind a Wall

Imaging and tracking of targets in clutter using differential time-reversal techniques

A Novel Time Reversal Based Microwave Imaging System

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