Fast Nonlinear Eigenvalues Analysis of Arbitrarily Shaped Substrate Integrated Waveguide (SIW) Resonators

Angiulli, Giovanni; Arnieri, Emilio; Carlo, Domenico De; Amendola, Giandomenico

doi:10.1109/tmag.2009.2012650

Cited by 16 publications

(12 citation statements)

References 12 publications

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“…Theoretically SIW resonances are the complex frequencies f for which Equation 2 (Angiulli, 2007;Angiulli et al, 2007;2009…”

Section: Ajasmentioning

confidence: 99%

“…Starting from this condition, the set of the complex resonant frequencies f = f re +jf im for which the matrix operator [L] TE,TM is ε-singular can be evaluated seeking for the minima of the two variable function σ n (f re , f im ) in an assigned band [f min , f max ] of frequencies. Angiulli et al (2009) an effective search strategy is discussed, essentially consisting of an approximate computation of σ n rather than a direct complete SVD factorization. First σ n (f re , f im ) is restricted to a real axis for locating its minima.…”

Section: Ajasmentioning

confidence: 99%

“…But such dependence is not known explicitly, even if dealing with standard-shaped structures. As a result, their design is usually cumbersome (Angiulli et al, 2009). Angiulli et al (2009) a characterization of SIW resonator using a computational intelligence approach by means of Support Vector Regression Machines (SVRMs) has been given.…”

Section: Introductionmentioning

confidence: 99%

“…As a result, their design is usually cumbersome (Angiulli et al, 2009). Angiulli et al (2009) a characterization of SIW resonator using a computational intelligence approach by means of Support Vector Regression Machines (SVRMs) has been given. Results shown in (Angiulli et al, 2009) demonstrated that the SVRM models provide a meaningful reduction of the overall computational burden due to numerical simulation of these devices associated with an accurate capability of modelling their behavior.…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Design of Square Substrate Integrated Waveguide Cavity Resonators: Compensation of Modelling Errors by Support Vector Regression Machines

Angiulli¹

2012

American Journal of Applied Sciences

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The design of Substrate Integrated Waveguide (SIW) resonators is usually a cumbersome process, especially due to the length "trial and error" procedure involved in this task. In this study Support Vector Regression Machines (SVRMs) are employed to compensate the modeling errors associated to the design of SIW rectangular cavity resonators. To validate the proposed approach, we have compared the design outputs provided by our method with the results provided by commercial full wave software. The comparison between our predictions and the full wave simulations validate the effectiveness of the proposed approach.

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“…Theoretically SIW resonances are the complex frequencies f for which Equation 2 (Angiulli, 2007;Angiulli et al, 2007;2009…”

Section: Ajasmentioning

confidence: 99%

Section: Ajasmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Design of Square Substrate Integrated Waveguide Cavity Resonators: Compensation of Modelling Errors by Support Vector Regression Machines

Angiulli¹

2012

American Journal of Applied Sciences

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“…The method provided also an easy way to analyze SIW resonators. In [10,11,23] the characteristics of SIW cavity have been proposed but losses were not taken into account and no results on quality factor were given. In [12] losses on the top and bottom plates and in the dielectric are included and results on quality factor are also given.…”

Section: Introductionmentioning

confidence: 99%

Characterization of Lossy Siw Resonators Based on Multilayer Perceptron Neural Networks on Graphics Processing Unit

Amendola¹,

Angiulli²,

Arnieri³

et al. 2013

PIER C

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Abstract-In recent years, Artificial Neural networks (ANNs) have been intensively employed to build smart model of microwave devices. In this paper a characterization of lossy SIW resonators by means of Multilayer Perceptron Neural Networks (MLPNNs) on Graphics Processing Unit (GPU), is presented. Once properly selected and trained, a MLPNN can evaluate the lossy SIW resonator's resonant frequency f r and the pertaining quality factor Q at a shorter time than the full-wave rigorous model. In this way, fast parametric models of SIW structures to employ for the design and optimization of microwave devices, exploiting the computational power of GPUs, can be obtained.

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Appraisal of Enhanced Surrogate Models for Substrate Integrate Waveguide Devices Characterization

Carlo¹,

Sgró²,

Calcagno³

2018

Neural Advances in Processing Nonlinear Dynamic Signals

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Fast Nonlinear Eigenvalues Analysis of Arbitrarily Shaped Substrate Integrated Waveguide (SIW) Resonators

Cited by 16 publications

References 12 publications

Design of Square Substrate Integrated Waveguide Cavity Resonators: Compensation of Modelling Errors by Support Vector Regression Machines

Design of Square Substrate Integrated Waveguide Cavity Resonators: Compensation of Modelling Errors by Support Vector Regression Machines

Characterization of Lossy Siw Resonators Based on Multilayer Perceptron Neural Networks on Graphics Processing Unit

Appraisal of Enhanced Surrogate Models for Substrate Integrate Waveguide Devices Characterization

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