Computational approach based on a particle swarm optimizer for microwave imaging of two-dimensional dielectric scatterers

Donelli, Massimo; Massa, Andrea

doi:10.1109/tmtt.2005.847068

Cited by 156 publications

(84 citation statements)

References 33 publications

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“…Since the unknown set τ k is real-valued, the minimization of (13) is carried out by means of a Particle Swarm Optimizer (P SO) [17] whose implementation is detailed in [18]. The normalized power pattern generated at the central frequency is shown in Fig.…”

Section: Pso-based Power Losses Minimizationmentioning

confidence: 99%

Time modulated planar arrays – Analysis and optimisation of the sideband radiations

Poli

Rocca

Manica

et al. 2010

IET Microw. Antennas Propag.

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Section: Pso-based Power Losses Minimizationmentioning

confidence: 99%

Time modulated planar arrays – Analysis and optimisation of the sideband radiations

Poli

Rocca

Manica

et al. 2010

IET Microw. Antennas Propag.

Self Cite

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“…This approach is computationally intensive because the system of equations that is used to calculate the scattered fields (whether using Integral Equations (IE) or Partial Differential Equations (PDE)), has to be built at each iteration. Furthermore, in order to minimize the cost-function and retrieve the unknown objects from the measurements, different deterministic (local optimization) [11][12][13][14][15] and stochastic (global optimization) [16][17][18][19] approaches have been proposed. The local-based optimization imaging techniques produce accurate and reliable results only if the starting trial solution is not far from the real solution.…”

Section: Introductionmentioning

confidence: 99%

Experimental Results for Microwave Tomography Imaging Based on FDTD and Ga

Sabouni¹,

Noghanian²

2013

PIER M

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Abstract-The authors recently presented a novel microwave tomography method for creating quantitative images of the electromagnetic properties of the interior of unknown objects [1]. This method is based on a time-domain inverse solver which uses the multi-illumination technique and includes the dispersive and heterogeneous characteristic of the object. The Frequency Dependent Finite Difference Time Domain ((FD) 2 TD) and Genetic Algorithm (GA) technique were utilized for determining unknown characteristics of the object. In the present paper, the calibration of measured data are described and image reconstruction results for preliminary experiments performed at the University of Manitoba's Microwave Tomography Laboratory and at the Institut Frsenel are presented.

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“…It is a kind of swarm intelligence that is based on social behavior. In recent year, some researchers have focused on applying PSO in the inverse problem [31][32][33][34][35]. To the best of our knowledge, there is still no investigation on using the PSO to reconstruct the electromagnetic imaging of homogeneous dielectric cylinders with arbitrary shape in free space under time domain.…”

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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Computational approach based on a particle swarm optimizer for microwave imaging of two-dimensional dielectric scatterers

Cited by 156 publications

References 33 publications

Time modulated planar arrays – Analysis and optimisation of the sideband radiations

Time modulated planar arrays – Analysis and optimisation of the sideband radiations

Experimental Results for Microwave Tomography Imaging Based on FDTD and Ga

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

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