Through-Wall Imaging With a 3-D UWB SAR Algorithm

Hantscher, S.; Reisenzahn, A.; Diskus, C.G.

doi:10.1109/lsp.2008.917031

Cited by 36 publications

(21 citation statements)

References 13 publications

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“…A Similar approach is employed to approximate the integral of (9). The first step is to find the stationary point of the rapidly varying exponential part as:…”

Section: Stationary Phase Methodsmentioning

confidence: 99%

“…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 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%

“…Most of the accomplished works in this field were based on synthetic aperture radar (SAR) and ultra-wideband (UWB) radar techniques [8,9]. In [10], a 2-D contrast source inverse scattering method was applied in a multilayered medium and a high-quality image reconstruction was achieved using multi-frequency data with a limited array view.…”

Section: Introductionmentioning

confidence: 99%

“…A synthetic aperture array technique was presented for imaging the targets behind the wall using ultra wideband antennas and wide range of incidence angles [8]. A 3-D ultra wideband SAR technique for surface reconstructing of hidden objects using real data was implemented achieving a reduction in the calculation time [9].…”

Section: Introductionmentioning

confidence: 99%

See 4 more Smart Citations

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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“…A Similar approach is employed to approximate the integral of (9). The first step is to find the stationary point of the rapidly varying exponential part as:…”

Section: Stationary Phase Methodsmentioning

confidence: 99%