Reconstruction of One-Dimensional Dielectric Scatterers Using Differential Evolution and Particle Swarm Optimization

Semnani, Abbas; Kamyab, M.; Rekanos, I.T.

doi:10.1109/lgrs.2009.2023246

Cited by 54 publications

(21 citation statements)

References 17 publications

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“…Several works proposed PSO, also with enhancement to the standard algorithm, for microwave imaging problems. In [50,51], the reconstruction of onedimensional dielectric profiles, illuminated by a Gaussian pulse (plane waves are assumed), is considered. Both noiseless and noisy data have been used.…”

Section: Psomentioning

confidence: 99%

Swarm Optimization Methods in Microwave Imaging

Randazzo

2012

International Journal of Microwave Science and Technology

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Swarm intelligence denotes a class of new stochastic algorithms inspired by the collective social behavior of natural entities (e.g., birds, ants, etc.). Such approaches have been proven to be quite effective in several applicative fields, ranging from intelligent routing to image processing. In the last years, they have also been successfully applied in electromagnetics, especially for antenna synthesis, component design, and microwave imaging. In this paper, the application of swarm optimization methods to microwave imaging is discussed, and some recent imaging approaches based on such methods are critically reviewed.

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Section: Psomentioning

confidence: 99%

Swarm Optimization Methods in Microwave Imaging

Randazzo

2012

International Journal of Microwave Science and Technology

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“…[1][2][3][4][5][6][7][8][9][10][11][12] The analytical approaches are mostly valid for the lossless media, and usually provide the depth-dependent permittivity profile of the test media in terms of the inverse Fourier transform of the reflection coefficient measured at the air-dielectric interface. [1][2][3] However, these methods require both the amplitude and phase of the reflection coefficient data over a wide frequency band starting from DC, which is difficult to achieve under practical situation.…”

Section: Introductionmentioning

confidence: 99%

Time domain microwave technique for dielectric imaging of multi-layered media

Akhter

Akhtar

2015

Journal of Electromagnetic Waves and Applications

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In this paper, a novel time domain practical scheme is proposed to reconstruct the dielectric image of the inhomogeneous multi-layered media. The overall process is noninvasive and noncontacting, which employs the measured scattering data of the test media in equivalent time domain. The measurement system consists of a modern vector network analyzer, a wide-band lens horn antenna, and the associated microwave components. The main focus here is to determine both the relative permittivity and the thickness of each layer in terms of the partial reflection coefficient calculated for the corresponding interface. It is also demonstrated here that the proposed approach can be used to characterize the lossy media under some approximation. The proposed approach is quite useful under situations such as the throughwall imaging, where only reflection measurements can be carried out due to restricted access of the object from the other side. The proposed scheme is validated here by determining the permittivity, the thickness, and the effective conductivity of a number of multi-layered media obtained by stacking few reference dielectric samples whose data are available in literature.

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“…In the 2010, the dynamic differential evolution (DDE) was first proposed to deal with the shape reconstruction of homogeneous dielectric cylinders under time domain [21]. It is also found that DDE algorithms have good convergences compared with PSO methods in the inverse scattering problems [27][28][29]. To the best of our knowledge, there is still no investigation on a comparative study about the performances of dynamic differential evolution (DDE) and the non-uniform steady state genetic algorithm (NU-SSGA) [30] to reconstruct the electromagnetic imaging of inhomogeneous dielectric cylinders with arbitrary cross section in a half-space under time domain.…”

Section: Introductionmentioning

confidence: 99%

Time Domain Inverse Scattering of Buried Inhomogeneous Dielectric Cylinders

Chiu

Chen

2012

J Nondestruct Eval

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This paper presents the studies of time domain inverse scattering for a two-dimensional inhomogeneous dielectric cylinder buried in a half-space by the finite difference time domain (FDTD) method and evolutionary algorithms (EAs). For forward scattering, the FDTD method is employed to calculate the scattered E fields, while for the inverse scattering the evolutionary algorithms are utilized to determine the permittivity of the buried cylindrical scatterer with arbitrary cross section. The results obtained for different examples show that the dynamic differential evolution (DDE) algorithms outperform the non-uniform steady state genetic algorithm (NU-SSGA) variants in terms of finding best optima. The suitability and efficiency of applying these two methods for microwave imaging of 2-D inhomogeneous dielectric cylinders are examined. Moreover, when the measured scattered fields are contaminated with Gaussian noise, DDE is able to yield good reconstructed quality.

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Reconstruction of One-Dimensional Dielectric Scatterers Using Differential Evolution and Particle Swarm Optimization

Cited by 54 publications

References 17 publications

Swarm Optimization Methods in Microwave Imaging

Swarm Optimization Methods in Microwave Imaging

Time domain microwave technique for dielectric imaging of multi-layered media

Time Domain Inverse Scattering of Buried Inhomogeneous Dielectric Cylinders

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