Simulation of 3-D Electromagnetic Scattering and Inverse Scattering by Arbitrary Anisotropic Dielectric Objects Embedded in Layered Arbitrary Anisotropic Media

Wang, Jianwen; Li, Jiawen; Chen, Yanjin; Han, Feng; Liu, Qing

doi:10.1109/tap.2020.2972636

Cited by 17 publications

(3 citation statements)

References 25 publications

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“…Since biaxial anisotropic scatterers have different components of dielectric coefficients in different transverse directions, the problem is more complicated than that of pure transverse magnetic (TM) polarization. Recently, a few studies have been published on anisotropic objects [68][69][70][71][72][73]. In 1998, Chiu reconstructed a perfect biaxial conductor using an uncorrelated illumination method.…”

Section: Introductionmentioning

confidence: 99%

Microwave Imaging of Anisotropic Objects by Artificial Intelligence Technology

Liao,

Chiu,

Chen

et al. 2023

Sensors

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In this paper, we present the microwave imaging of anisotropic objects by artificial intelligence technology. Since the biaxial anisotropic scatterers have different dielectric constant components in different transverse directions, the problems faced by transverse electronic (TE) polarization waves are more complex than those of transverse magnetic (TM) polarization waves. In other words, measured scattered field information can scarcely reconstruct microwave images due to the high nonlinearity characteristic of TE polarization. Therefore, we first use the dominant current scheme (DCS) and the back-propagation scheme (BPS) to compute the initial guess image. We then apply a trained convolution neural network (CNN) to regenerate the microwave image. Numerical results show that the CNN possesses a good generalization ability under limited training data, which could be favorable to deploy in image processing. Finally, we compare DCS and BPS reconstruction images for anisotropic objects by the CNN and prove that DCS is better than BPS. In brief, successfully reconstructing biaxial anisotropic objects with a CNN is the contribution of this proposal.

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Section: Introductionmentioning

confidence: 99%

Microwave Imaging of Anisotropic Objects by Artificial Intelligence Technology

Liao,

Chiu,

Chen

et al. 2023

Sensors

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“…Mathematical methods allow, without significant expenditures of materials and time, the simulation of EM wave scattering from UAVs of various shapes and materials and for various radar-probing scenarios. Here, the most widely used are asymptotic high-frequency methods (AHFMs) [13][14][15][16][17][18] (in the case of electrically large scatterers) and methods based on solving boundary integral equations (IEs) [3,8,14,16,[19][20][21][22][23][24][25][26][27] (in the case of electrically small and resonant-size scatterers).…”

Section: Introductionmentioning

confidence: 99%

“…Therefore, for mathematical modelling of their radar scattering, it is reasonable to use methods based on the boundary IE. Note that IEs of EM scattering are usually solved using method of moments (MoM) [3,8,14,16,[19][20][21][22][23][24][25][26][27][28][29][30][31][32], which belongs to the class of projection methods.…”

Section: Introductionmentioning

confidence: 99%

Integral equation modelling of unmanned aerial vehicle radar scattering characteristics in VHF to S frequency bands

Zalevsky

Sukharevsky

Vasylets

2021

IET Microwaves Antenna & Prop

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Methods for modelling the radar scattering characteristics of resonance-size airborne objects containing metallic and dielectric design elements are discussed. The developed algorithms are based on solving Fredholm second-kind boundary integral equations (IEs) that place them within the context of the method of analytical regularisation. The magnetic field IE is used for metal elements, and the Müller IE set is used for dielectric elements. The proposed algorithms provide important novelties in calculating the radar scattering characteristics of objects with various curvature radii, including electrically thin scatterers. The description is accompanied by an analysis of developed algorithm convergence. For the validation, a comparison of results for model object obtained by different methods is presented. The results of modelling the radar scattering characteristics of an unmanned aerial vehicle and its separate metallic and dielectric elements within the VHF and S frequency bands are demonstrated and discussed.This is an open access article under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non-commercial and no modifications or adaptations are made.

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A Combined Mode-Matching Technique and Born Approximation Method to Model Well-Logging Sensors in Non-Axisymmetric Boreholes

2021

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This paper presents a study on pseudo-analytic techniques for modeling electromagnetic sensors used in geophysical well logging. Logging-while-drilling (LWD) tools are sensors typically used on the exploration of hydrocarbons reservoirs and are usually immersed in complex geophysical formations (inhomogeneous, dissipative, and anisotropic), resulting in a challenging problem for conventional computational electromagnetic techniques. The geophysical environment is typically treated as a radially and longitudinally stratified medium, conforming with the boundaries of a cylindrical borehole drilled in the earth. We analyzed this propagation problem by using a full-wave method based on the mode-matching technique for solving the cylindrical stratifications. This method was then supplemented by a perturbational solution on the grounds of the Born approximation for handling the non-symmetries the borehole and earth layers can present. Preliminary results show the ability of the techniques introduced in this paper to accurately modeling electromagnetic sensors more realistically when compared with other semi-analytic methods available in the literature.INDEX TERMS Born-based approximation, Mode-matching techniques, Full-wave techniques, Scattering, Well-logging sensors.

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Simulation of 3-D Electromagnetic Scattering and Inverse Scattering by Arbitrary Anisotropic Dielectric Objects Embedded in Layered Arbitrary Anisotropic Media

Cited by 17 publications

References 25 publications

Microwave Imaging of Anisotropic Objects by Artificial Intelligence Technology

Microwave Imaging of Anisotropic Objects by Artificial Intelligence Technology

Integral equation modelling of unmanned aerial vehicle radar scattering characteristics in VHF to S frequency bands

A Combined Mode-Matching Technique and Born Approximation Method to Model Well-Logging Sensors in Non-Axisymmetric Boreholes

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