A computational technique based on a real-coded genetic algorithm for microwave imaging purposes

Caorsi, S.; Massa, Andrea; Pastorino, Matteo

doi:10.1109/36.851968

Cited by 135 publications

(62 citation statements)

References 21 publications

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“…The imaging algorithms that can be implemented for these applications are extremely various, since efficient ad-hoc procedures are usually searched for in connection with the peculiarities of the scenarios to be investigated [27][28][29][30][31].…”

Section: Introductionmentioning

confidence: 99%

GPR Estimation of the Geometrical Features of Buried Metallic Targets in Testing Conditions

Soldovieri¹,

Catapano²,

Barone³

et al. 2013

PIER B

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Abstract-The capability of Ground Penetrating Radar (GPR) systems of accurately reconstructing the geometrical features of buried objects when working in critical conditions is investigated. A customized microwave tomographic approach is used to tackle the imaging through the processing of comparative experimental and synthetic GPR data. The first ones have been gathered in laboratory controlled conditions, while the second ones have been obtained by exploiting an ad-hoc implementation of a CAD tool. Attention is paid to the significant case of 'strong' scatterers having size comparable to the wavelengths of the probing signal, and possibly located close to the interface where the GPR antennas move. The results from imaging point out the potential of the proposed approach, showing in particular to which extent in challenging operational settings, it is possible to recover also the information about the shape of metallic targets in addition to their correct location and size.

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Section: Introductionmentioning

confidence: 99%

GPR Estimation of the Geometrical Features of Buried Metallic Targets in Testing Conditions

Soldovieri¹,

Catapano²,

Barone³

et al. 2013

PIER B

View full text Add to dashboard Cite

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“…The retrieval of unknown targets embedded in inaccessible regions is a problem still actual and of interest [1] that need the development of efficient and reliable procedures for their application to real world problems [2,3,[27][28][29][30][31]. Many strategies in microwave imaging reformulate the arising inverse scattering problem as the solution of an equivalent inverse source problem to determine either the profiles [4] or the dielectric properties [2][3][4] of unknown objects embedded in an inaccessible region.…”

Section: Introductionmentioning

confidence: 99%

Multi-Resolution Retrieval of Non-Measurable Equivalent Currents in Microwave Imaging Problems-Experimental Assessment

Rocca

2009

PIER

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Abstract-In this paper, an approach based on a multi-scaling strategy for the reconstruction of the non-measurable components of equivalent current distributions is tested against experimental data. An extensive set of simulations is carried out considering single and multiple scatterers with homogeneous as well as inhomogeneous properties. Selected results are reported and discussed to show potentialities and limitations of the method.

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“…Although intrinsic ill-posedness and nonlinearity of these problems appear consequentially in the inverse scattering problems [26][27][28][29], the study can be applied in widespread use. Most of the inversion techniques are investigated for the inverse problem using only single frequency scattering data (monochromatic source) [1][2][3][4][5][6][7][8][9][10][11]. However, the time domain scattering data is important for the inverse problem because the available information content about scatterer is more than the only single frequency scattering data.…”

Section: Introductionmentioning

confidence: 99%

Time Domain Inverse Scattering of a Two-Dimensional Homogenous Dielectric Object With Arbitrary Shape by Particle Swarm Optimization

Huang¹,

Chiu²,

Li³

et al. 2008

PIER

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Abstract-This paper presents a computational approach to the twodimensional time domain inverse scattering problem of a dielectric cylinder based on the finite difference time domain (FDTD) method and the particle swarm optimization (PSO) to determine the shape, location and permittivity of a dielectric cylinder. A pulse is incident upon a homogeneous dielectric cylinder with unknown shape and dielectric constant in free space and the scattered field is recorded outside. By using the scattered field, the shape and permittivity of the dielectric cylinder are reconstructed. The subgridding technique is implemented in the FDTD code for modeling the shape of the cylinder more closely. In order to describe an unknown cylinder with arbitrary shape more effectively, the shape function is expanded by closed cubicspline function instead of frequently used trigonometric series. The inverse problem is resolved by an optimization approach, and the global searching scheme PSO is then employed to search the parameter space. Numerical results demonstrate that, even when the initial guess is far away from the exact one, good reconstruction can be obtained. In addition, the effects of Gaussian noise on the reconstruction results are investigated. Numerical results show that even the measured scattered E fields are contaminated with some Gaussian noise, PSO can still yield good reconstructed quality.

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A computational technique based on a real-coded genetic algorithm for microwave imaging purposes

Cited by 135 publications

References 21 publications

GPR Estimation of the Geometrical Features of Buried Metallic Targets in Testing Conditions

GPR Estimation of the Geometrical Features of Buried Metallic Targets in Testing Conditions

Multi-Resolution Retrieval of Non-Measurable Equivalent Currents in Microwave Imaging Problems-Experimental Assessment

Time Domain Inverse Scattering of a Two-Dimensional Homogenous Dielectric Object With Arbitrary Shape by Particle Swarm Optimization

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