Optimization of a PML absorber's conductivity profile using FDTD

Li, Ching‐Lieh; Liu, Chien-Wei; Chen, Shao-Hon

doi:10.1002/mop.10924

Cited by 30 publications

(15 citation statements)

References 7 publications

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“…The computational domain is surrounded by the Fig. 1 Geometry for the inverse scattering of a dielectric cylinder of arbitrary shape buried in half space perfect matching layers (PML) absorber [31] to reduce the reflection from the environment-PML interface.…”

Section: Theoretical Formulationmentioning

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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Section: Theoretical Formulationmentioning

confidence: 99%

Time Domain Inverse Scattering of Buried Inhomogeneous Dielectric Cylinders

Chiu

Chen

2012

J Nondestruct Eval

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“…The computational domain is discretized by Yee cells. It should be mentioned that the computational domain is surrounded by the optimized perfect matching layers (PML) absorber [20] to reduce the reflection from the environment-PML interface.…”

Section: Forward Problemmentioning

confidence: 99%

“…subgriding FDTD can be found in [20]. The flow chart associated upon subgrid FDTD computing procedure is shown in Fig.…”

Section: When Time Step Is Equal To N+3/6 Let E(n+1/2)=e(n+3/6)mentioning

confidence: 99%

Time-Domain Inverse Scattering of a Two-Dimensional Metallic Cylinder in Slab Medium Using Asynchronous Particle Swarm Optimization

Sun¹,

Chiu

Li³

2010

PIER M

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Abstract-This paper presents asynchronous particle swarm optimization (APSO) applied to the time-domain inverse scattering problems of two-dimensional metallic cylinder buried in slab medium. For this study the finite-difference time-domain (FDTD) is employed for the analysis of the forward scattering part, while for the APSO is applied for the reconstruction of the two-dimensional metallic cylinder buried in slab medium, which includes of the location and shape the metallic cylinder. For the forward scattering, conceptually several electromagnetic pulses are launched to illuminate the unknown scatterers, and then the scattered electromagnetic fields around are measured. In order to efficiently describe the details of the cylinder shape, subgridding technique is implemented in the finite difference time domain method. Then, the simulated EM fields are used for inverse scattering, in which APSO is employed to transform the inverse scattering problem into optimization problem. By comparing the simulated scattered fields and the calculated scattered fields, the shape and location of the metallic cylinder are reconstructed. In addition, the effects of Gaussian noises on imaging reconstruction are also investigated.

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“…The computational domain is discretized by the Yee's cell. It should be mentioned that the computational domain is surrounded by the optimized PML absorber [39] to reduce the reflection from the air-PML interface.…”

Section: Theoretical Formulationmentioning

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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Optimization of a PML absorber's conductivity profile using FDTD

Abstract: ABSTRACT:The conductivity profile of a perfectly matched layer (PML)

Cited by 30 publications

References 7 publications

Time Domain Inverse Scattering of Buried Inhomogeneous Dielectric Cylinders

Time Domain Inverse Scattering of Buried Inhomogeneous Dielectric Cylinders

Time-Domain Inverse Scattering of a Two-Dimensional Metallic Cylinder in Slab Medium Using Asynchronous Particle Swarm Optimization

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

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