Scattering from lossy dielectric objects buried beneath randomly rough ground: validating the semi-analytic mode matching algorithm with 2-D FDFD

Morgenthaler, Ann W.; Rappaport, Carey M.

doi:10.1109/36.964978

Cited by 30 publications

(8 citation statements)

References 21 publications

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“…In [9] the 2-D FDFD algorithm was compared to the semi-analytic mode matching (SAMM) algorithm and has never been extended to a 3-D simulation due to the memory consumption the FDFD technique exhibits relative to the SAMM algorithm as proposed by the authors.…”

Section: Introductionmentioning

confidence: 99%

“…Furthermore, different numerical methods were also used to solve the scattering problem from random medium, such as method of moment (MoM) [6] and finite difference techniques, such as FDTD [7], FVTD [8] and a 2-D model using FDFD [9]. In [9] the 2-D FDFD algorithm was compared to the semi-analytic mode matching (SAMM) algorithm and has never been extended to a 3-D simulation due to the memory consumption the FDFD technique exhibits relative to the SAMM algorithm as proposed by the authors.…”

Section: Introductionmentioning

confidence: 99%

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Electromagnetic Scattering From 3-D Targets in a Random Medium Using Finite Difference Frequency Domain

Sharkawy

El-Ocla

2013

IEEE Trans. Antennas Propagat.

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In this paper a three-dimensional (3-D) numerical technique based on the finite difference frequency domain (FDFD) is implemented to calculate the scattering from arbitrary shaped objects embedded in a continuous random medium. The total field/scattered field (TF/SF) algorithm is integrated with the FDFD to minimize the memory consumption and speed up the calculations. For validation purposes, the radar cross-section of a 2-D conducting cylinder in random medium is calculated using the FDFD technique and compared to previously published data based on the current generator method. An upgrade to a 3-D solver was then inspired once the idea of using the multi-grid technique was introduced to accelerate the convergence rate of the BICGSTAB iterative solver. Thus, allowing the FDFD technique to become a robust method to solve the scattering problem from large targets embedded in random medium. Therefore, using the introduced simulating scheme, one can easily elucidate any scattering information out of real life targets surrounded by random environmental effects.Index Terms-Current generator method, finite difference frequency domain, multi-grid, random medium, scattering.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Electromagnetic Scattering From 3-D Targets in a Random Medium Using Finite Difference Frequency Domain

Sharkawy

El-Ocla

2013

IEEE Trans. Antennas Propagat.

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“…The scattering is computed for single frequency illumination by a radar beam using the finite difference frequency domain (FDFD) method. This computational model is similar to the finite element method, but uses the simplified square grid geometry of FDTD [8,9]. The basic equation used for two dimensional FDFD is the discretized Helmholtz Equation (1).…”

Section: The Fdfd Computational Methodsmentioning

confidence: 99%

Computational Modeling Analysis of Radar Scattering by Clothing Covered Arrays of Metallic Body-Worn Explosive Devices

Angell¹,

Rappaport²

2007

PIER

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Abstract-In this study, we address the problem of detecting bodyworn improvised explosive devices (IEDs) from a safe distance using radar. We have used a finite difference frequency domain (FDFD) model to simulate the radar signature of a typical scenario for bodyworn IEDs, and have analyzed wrinkled clothing as a possible source of clutter, as well as the possibility for uniform versus nonuniform array spacing of explosive-filled metal pipes. Our analysis shows distinct characteristics of the pipe backscattered farfield signal for uniformly spaced pipes, with no significant clutter added when the metallic pipe is covered with wrinkled clothing.

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“…The Semi-Analytic Mode Matching (SAMM) algorithm [1] is used to model single frequency scattering from irregularly-shaped 2D dielectric objects buried within half-space geometries by numerically matching all boundary conditions at discrete fitting points spanning the objects' perimeters and relevant portions of the half space boundary. Singular value decomposition (SVD) is used to minimize the linear equation |F · c -b|, where c is a vector of unknown mode coefficients, b is vector which describes the mismatch in each boundary condition at each fitting point along every interface in the modeled region, and F is the dense, nonsquare matrix which relates them.…”

Section: Introductionmentioning

confidence: 99%

The Semi-Analytic Mode Matching algorithm for GPR wave scattering from multiple complex objects buried in a dielectric half space

Morgenthaler

Rappaport

2010

2010 IEEE International Geoscience and Remote Sensing Symposium

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The Semi-Analytic Mode Matching (SAMM) algorithm is a quick and efficient computational method that can model wave scattering from multiple objects in half spaces. This algorithm relies heavily on the appropriate choice of coordinate scattering centers (CSCs) for its modal expansions. Here, the radius of curvature method of finding CSCs is extended to "tune" the CSC loci. Because the CSC locations are essentially frequency independent and independent of the dielectric contrast between scatterer and background, it is worthwhile to analyze carefully particular scattering object shapes and store the optimal CSC locations for future use. Scattering from multiple targets buried within half spaces can be constructed from simpler simulations of the individual targets taken independently in uniform media -combining these initial simulations correctly can greatly reduce overall computational time and increase robustness in full simulations. Excellent results are found comparing SAMM and Finite Difference Frequency Domain (FDFD) for multiple 2D scattering objects 0.1 -15 wavelengths in size located beneath half spaces.

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Scattering from lossy dielectric objects buried beneath randomly rough ground: validating the semi-analytic mode matching algorithm with 2-D FDFD

Cited by 30 publications

References 21 publications

Electromagnetic Scattering From 3-D Targets in a Random Medium Using Finite Difference Frequency Domain

Electromagnetic Scattering From 3-D Targets in a Random Medium Using Finite Difference Frequency Domain

Computational Modeling Analysis of Radar Scattering by Clothing Covered Arrays of Metallic Body-Worn Explosive Devices

The Semi-Analytic Mode Matching algorithm for GPR wave scattering from multiple complex objects buried in a dielectric half space

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