Accelerated Antenna Design Methodology Exploiting Parameterized Cauchy Models

Shaker, George; Bakr, Mohamed H.; Sangary, Nagula; Safavi-Naeini, and Safieddin

doi:10.2528/pierb09091109

Cited by 50 publications

(39 citation statements)

References 36 publications

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“…18 (details showing the steps to achieve such shape are beyond the scope of this paper. It mainly follows the routine presented in [43]). The wrapped strip has an overall height of 4 mm and is connected to the board through a short strip connection.…”

Section: Design Of a Smartphone Antennamentioning

confidence: 99%

Modern Antenna Design Using Mode Analysis Techniques

Shaker¹,

Safavi‐Naeini²,

Sangary³

2015

PIER B

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Abstract-In this paper, the modal theory of antennas is re-visited, believing that it brings invaluable information towards facilitating the design of multi-feed multi-band antennas. First, some subtle changes are proposed to enhance the applicability of the theory. Next, using some efficient computational techniques, the proposed formulations are shown to predict, to a very high accuracy, the input impedance of any antenna under study. This greatly simplifies the antenna problem and focuses design efforts on finding the appropriate complex resonance frequency to cover a required band. Finding the appropriate feed location is then a matter of extracting the corresponding impedance map for this antenna through simple field manipulations.

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Section: Design Of a Smartphone Antennamentioning

confidence: 99%

Modern Antenna Design Using Mode Analysis Techniques

Shaker¹,

Safavi‐Naeini²,

Sangary³

2015

PIER B

Self Cite

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“…Some effort has also been made in order to extend the Cauchy method to multidimensional functions, i.e., to functions of more than one independent variable [6][7][8]. In [6], an effective generic approach for computer-aided design of microwave circuits is presented.…”

Section: Introductionmentioning

confidence: 99%

A Modified Cauchy Method Suitable for Duplexer and Triplexer Rational Models Extraction

Zhang¹,

Su²,

Wu³

et al. 2012

PIER Letters

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Abstract-A modified Cauchy method which generates accurate duplexer and triplexer rational models from either measurements or electromagnetic analysis is presented in this paper. The modified Cauchy method has some advantages over the conventional Cauchy method because it takes into account the relationship between the transmission coefficients of each channel filter and reflection coefficient. It is suitable for duplexer and triplexer whose channel filters are connected through resonating junction. The total least square method is used to solve the system matrix. Synthesized numerical duplexer and triplexer examples verify the method successfully.

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“…Various metamodeling techniques have been developed over the years which are applied to expedite computationally expensive tasks such as multi-disciplinary design and optimization of aircraft wing geometries, robustness-and/or reliability-based optimization of antenna structures, sensitivity analysis, etc. For example, implementation of low-cost antenna models is possible using various approximation techniques such as polynomial regression [2], radial basis function interpolation [3], Kriging [4,5] support vector regression [6][7][8][9], fuzzy systems [10,11], multidimensional Cauchy approximation [12], or artificial neural networks [13][14][15][16], etc. A common problem associated with most of the metamodeling approaches is the fact that they demand for a high model setup cost: in order to ensure usable accuracy a large number of training sample points is necessary, which quickly grows with the dimensionality of the design space (a problem often referred to as the curse of dimensionality) [2,17,18].…”

Section: Introductionmentioning

confidence: 99%

Data‐driven model based design and analysis of antenna structures

Ulaganathan

Koziel

Bekasiewicz

et al. 2016

IET Microwaves, Antennas & Propagation

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Data-driven models, or metamodels, offer an efficient way to mimic the behaviour of computation-intensive simulators. Subsequently, the usage of such computationally cheap metamodels is indispensable in the design of contemporary antenna structures where computationintensive simulations are often performed in a large scale. Although metamodels offer sufficient flexibility and speed, they often suffer from an exponential growth of required training samples as the dimensionality of the problem increases. In order to alleviate this issue, a Gaussian process based approach, known as Gradient Enhanced Kriging, is proposed in this work to achieve cost-efficient modeling of antenna structures. The Gradient Enhanced Kriging approach incorporates adjoint-based sensitivity data in addition to function data obtained from electromagnetic simulations. The approach is illustrated using a dielectric resonator and an ultra-wideband antenna structures. The method demonstrates significant accuracy improvement with less number of training samples over the Ordinary Kriging approach which utilises function data only. The discussed technique has been favorably compared with Ordinary Kriging in terms of computational cost.

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Accelerated Antenna Design Methodology Exploiting Parameterized Cauchy Models

Cited by 50 publications

References 36 publications

Modern Antenna Design Using Mode Analysis Techniques

Modern Antenna Design Using Mode Analysis Techniques

A Modified Cauchy Method Suitable for Duplexer and Triplexer Rational Models Extraction

Data‐driven model based design and analysis of antenna structures

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