Microwave imaging in the time domain of buried multiple scatterers by using an FDTD-based optimization technique

Rekanos, I.T.; Räisänen, Antti V.

doi:10.1109/tmag.2003.810526

Cited by 48 publications

(34 citation statements)

References 13 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 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%

“…In [3], a simple procedure to detect changes in a through-the-wall imaging scenario was reported validated against synthetic and experimental data. In [4], a microwave imaging technique that combined the FDTD method and the Polak-Ribière algorithm for reconstructing underground multiple scatterers was presented. In [5], the characterization of inclusions in concrete structures using the matched-filter-based reverse-time (MFBRT) migration algorithm and the particle swarm optimization (PSO) was investigated.…”

Section: Introductionmentioning

confidence: 99%

See 2 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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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

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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“…The first two items appear because the operator that maps the scatterer properties to the scattered field is compact. The non-uniqueness and the ill-posedness can be treated by using regularization schemes [11][12][13][14][15][16][17]. On the other hand, the nonlinearity emerges from the fact that the scattered field is a nonlinear function of the electromagnetic properties of the scatterers due to multiple scattering phenomena.…”

Section: Introductionmentioning

confidence: 99%

Truncated Cosine Fourier Series Expansion Method for Solving 2-D Inverse Scattering Problems

Semnani¹,

Kamyab²

2008

PIER

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Abstract-Truncated cosine Fourier series expansion method is applied for reconstruction of lossy and inhomogeneous 2-D media by using inverse scattering method in time domain. In this method, the unknown parameters are expanded in a cosine Fourier series and coefficients of this expansion are optimized in particle swarm optimization (PSO) routine with the aid of finite difference time domain (FDTD) method as an electromagnetic (EM) solver. The performance of the algorithm is studied for several 2-D permittivity and conductivity profile reconstruction cases. It is shown that since only a limited number of terms are retained in the expansion, using the proposed method guarantees the well-posedness of the problem and uniqueness of the solution and various types of regularization may be used to only have more precise reconstruction. It is also shown that the number of unknowns in optimization routine is reduced more than 75 percent as compared with conventional methods which leads to a considerable reduction in the amount of computations with negligible adverse effect on the precision of reconstruction. Sensitivity analysis of the suggested method to the number of expansion terms in the algorithm is studied, as well.

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“…It can be formulated and solved as inverse scattering problems. As pointed out in [1], the inverse scattering problems are nonlinear due to the fact that the scattered field is a nonlinear function of the electromagnetic properties of the objects, and they are ill-posed because the operator that maps the scatterer properties to the scattered field is compact. In general, the nonlinearity of the inverse scattering problems can be coped with by employing iterative optimization technique, and the ill-posedness can be treated by using regularization schemes.…”

Section: Introductionmentioning

confidence: 99%

Microwave Imaging of Buried Inhomogeneous Objects Using Parallel Genetic Algorithm Combined With FDTD Method

Chen¹,

Huang²,

Xu³

2005

PIER

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Abstract-Microwave imaging of buried objects has been widely used in sensing and remote-sensing applications. It can be formulated and solved as inverse scattering problems.In this paper, we propose a hybrid numerical technique based on the parallel genetic algorithm (GA) and the finite-difference time-domain (FDTD) method for determining the location and dimensions of two-dimensional inhomogeneous objects buried in a lossy earth. The GA, a robust stochastic optimization procedure, is employed to recast the inverse scattering problem to a global optimization problem for its solution. To reduce its heavy computation burden, the GA-based inverse computation is parallelized and run on a multiprocessor cluster system. The FDTD method is selected for the forward calculation of the scattered field by the buried inhomogeneous object because it can effectively model an inhomogeneous object of arbitrary shape. Sample numerical results are presented and analyzed. The analysis of the numerical results shows that the proposed hybrid numerical technique is able to determine the location and dimension of a 2D buried inhomogeneous object, and the parallel computation can effectively reduce the required computation time.

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Microwave imaging in the time domain of buried multiple scatterers by using an FDTD-based optimization technique

Cited by 48 publications

References 13 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

Truncated Cosine Fourier Series Expansion Method for Solving 2-D Inverse Scattering Problems

Microwave Imaging of Buried Inhomogeneous Objects Using Parallel Genetic Algorithm Combined With FDTD Method

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