An Efficient Framework for Analysis of Wire-Grid Shielding Structures over a Broad Frequency Range

Karwowski, A.; Нога, А.; Topa, T.

doi:10.13164/re.2016.0629

“…Several techniques have been proposed to alleviate this problem. In general, these can be classified into three groups, namely matrix interpolation methods, model driven methods and data driven methods [6]- [9]. In group one, the impedance matrices at relatively coarsely spaced frequencies are computed and stored first.…”

Section: Introductionmentioning

confidence: 99%

Enhancing CBFM with Adaptive Frequency Sampling for Wide-Band Scattering from Objects Buried in Layered Media

Li¹

2022

Preprint

1

0

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<p>An adaptive frequency sampling (AFS) strategy is proposed in conjunction with characteristic basis function method (CBFM) to investigate the problem of wide-band scattering from objects buried in layered media. Conventionally, the CBFM is implemented in the method of moments (MoM) formulation to reduce the solution time at a single frequency. However, wide-band analysis of the above problem is still time consuming when a large number of frequency samples are employed, together with uniform sampling. To mitigate this issue and speed up the process, we propose the AFS algorithm, which selects the frequency samples via an iterative process involving the error-estimates and in turn guarantees the convergence of the wide-band solution process. These samples are used as inputs to the vector fitting (VF) algorithm, which obtains a rational model and subsequently derives the scattered fields in the frequency range of interest efficiently. Numerical results are included to demonstrate that the number of required samples is significantly reduced without compromising the accuracy of the solution.</p>

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“…Several techniques have been proposed to alleviate this problem. In general, these can be classified into three groups, namely matrix interpolation methods, model driven methods and data driven methods [6]- [9]. In group one, the impedance matrices at relatively coarsely spaced frequencies are computed and stored first.…”

Section: Introductionmentioning

confidence: 99%

Enhancing CBFM with Adaptive Frequency Sampling for Wide-Band Scattering from Objects Buried in Layered Media

Li¹

2022

Preprint

1

0

View full text Add to dashboard Cite

<p>An adaptive frequency sampling (AFS) strategy is proposed in conjunction with characteristic basis function method (CBFM) to investigate the problem of wide-band scattering from objects buried in layered media. Conventionally, the CBFM is implemented in the method of moments (MoM) formulation to reduce the solution time at a single frequency. However, wide-band analysis of the above problem is still time consuming when a large number of frequency samples are employed, together with uniform sampling. To mitigate this issue and speed up the process, we propose the AFS algorithm, which selects the frequency samples via an iterative process involving the error-estimates and in turn guarantees the convergence of the wide-band solution process. These samples are used as inputs to the vector fitting (VF) algorithm, which obtains a rational model and subsequently derives the scattered fields in the frequency range of interest efficiently. Numerical results are included to demonstrate that the number of required samples is significantly reduced without compromising the accuracy of the solution.</p>

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“…The paper focuses on the particular AFS-SB scheme proposed in Karwowski (2009) on the basis of a combination of a simple binary search (bisection) strategy with the SB algorithm and a new convergence criterion. Although the scheme has proven its usefulness and advantages in solving demanding EMC and antenna problems (Karwowski et al, 2010;Karwowski and Noga, 2012;Karwowski et al, 2016;Wójcik and Karwowski, 2010), its weakness can be attributed to the relatively slow convergence of the bisection algorithm, calling into question the convergence and thus, the computational cost of the overall AFS-SB-MoM approach. This crucial issue is addressed in this paper which extends and completes the study reported in Karwowski (2012).…”

Section: Introductionmentioning

confidence: 99%

Performance evaluation of MoM-based wide-band EM simulation with adaptive frequency sampling and Stöer-Bulirsch algorithm

Karwowski

¹

2017

COMPEL

1

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Purpose The purpose of this paper is to examine the convergence, offered accuracy and efficiency of the bisectional adaptive frequency sampling (AFS) scheme combined with the Stöer-Bulirsch (SB) algorithm as a tool for supporting frequency-domain method-of-moments (MoM) in broadband electromagnetic (EM) simulations. Design/methodology/approach The AFS and SB procedures have been interfaced with the MoM code, and then, an extensive parametric study has been carried out to explore the performance of the numerical solution for the test problems of reconstructing frequency responses of the wire radiator and scatterer, respectively, over at least a decade bandwidth. Findings The results give evidence for the efficiency of the overall approach and its capability of constructing the approximation of multi-resonant responses with sharp resonant peaks from a substantially reduced number of EM samples (data points) compared to that of conventional uniform sampling. Originality/value Results of the study offer thorough insight into the performance of the AFS-SB technique, and the data given in this paper may be helpful in selecting the convergence criterion and the tolerance for the AFS-SB algorithm to achieve a possibly economical broadband simulation technique.

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An Efficient Framework for Analysis of Wire-Grid Shielding Structures over a Broad Frequency Range

Cited by 8 publications

References 22 publications

Enhancing CBFM with Adaptive Frequency Sampling for Wide-Band Scattering from Objects Buried in Layered Media

Enhancing CBFM with Adaptive Frequency Sampling for Wide-Band Scattering from Objects Buried in Layered Media

Enhancing CBFM with Adaptive Frequency Sampling for Wide-Band Scattering from Objects Buried in Layered Media

Performance evaluation of MoM-based wide-band EM simulation with adaptive frequency sampling and Stöer-Bulirsch algorithm

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