A new neural network technique for the design of multilayered microwave shielded bandpass filters
In this work, we propose a novel technique based on neural networks, for the design of microwave filters in shielded printed technology. The technique uses radial basis function neural networks to represent the non linear relations between the quality factors and coupling coefficients, with the geomet...
| Autores: | , , , , |
|---|---|
| Tipo de recurso: | artículo |
| Estado: | Versión publicada |
| Fecha de publicación: | 2009 |
| País: | España |
| Institución: | Universidad Politécnica de Cartagena(UPCT) |
| Repositorio: | Repositorio Digital UPCT |
| OAI Identifier: | oai:repositorio.upct.es:10317/8499 |
| Acceso en línea: | https://onlinelibrary.wiley.com/doi/abs/10.1002/mmce.20363 http://hdl.handle.net/10317/8499 |
| Access Level: | acceso abierto |
| Palabra clave: | Neural Networks Microwave filters Microstrip fliters Filter design techniques Teoría de la Señal y las Comunicaciones 2202.10 Radioondas y Microondas |
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A new neural network technique for the design of multilayered microwave shielded bandpass filtersPascual García, JuanQuesada Pereira, Fernando DanielCañete Rebenaque, DavidGómez Díaz, Juan SebastiánMelcón Álvarez, AlejandroNeural NetworksMicrowave filtersMicrostrip flitersFilter design techniquesTeoría de la Señal y las Comunicaciones2202.10 Radioondas y MicroondasIn this work, we propose a novel technique based on neural networks, for the design of microwave filters in shielded printed technology. The technique uses radial basis function neural networks to represent the non linear relations between the quality factors and coupling coefficients, with the geometrical dimensions of the resonators. The radial basis function neural networks are employed for the first time in the design task of shielded printed filters, and permit a fast and precise operation with only a limited set of training data. Thanks to a new cascade configuration, a set of two neural networks provide the dimensions of the complete filter in a fast and accurate way. To improve the calculation of the geometrical dimensions, the neural networks can take as inputs both electrical parameters and physical dimensions computed by other neural networks. The neural network technique is combined with gradient based optimization methods to further improve the response of the filters. Results are presented to demonstrate the usefulness of the proposed technique for the design of practical microwave printed coupled line and hairpin filters.John WileyGrupo Electromagnetismo Aplicado a las Telecomunicaciones202020202009info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfapplication/pdfhttps://onlinelibrary.wiley.com/doi/abs/10.1002/mmce.20363http://hdl.handle.net/10317/8499reponame:Repositorio Digital UPCTinstname:Universidad Politécnica de Cartagena(UPCT)InglésAtribución-CompartirIgual 3.0 España© Copyright 2008 Wiley Periodicals, Inc.http://creativecommons.org/licenses/by-sa/3.0/es/info:eu-repo/semantics/openAccessoai:repositorio.upct.es:10317/84992026-05-15T06:39:02Z |
| dc.title.none.fl_str_mv |
A new neural network technique for the design of multilayered microwave shielded bandpass filters |
| title |
A new neural network technique for the design of multilayered microwave shielded bandpass filters |
| spellingShingle |
A new neural network technique for the design of multilayered microwave shielded bandpass filters Pascual García, Juan Neural Networks Microwave filters Microstrip fliters Filter design techniques Teoría de la Señal y las Comunicaciones 2202.10 Radioondas y Microondas |
| title_short |
A new neural network technique for the design of multilayered microwave shielded bandpass filters |
| title_full |
A new neural network technique for the design of multilayered microwave shielded bandpass filters |
| title_fullStr |
A new neural network technique for the design of multilayered microwave shielded bandpass filters |
| title_full_unstemmed |
A new neural network technique for the design of multilayered microwave shielded bandpass filters |
| title_sort |
A new neural network technique for the design of multilayered microwave shielded bandpass filters |
| dc.creator.none.fl_str_mv |
Pascual García, Juan Quesada Pereira, Fernando Daniel Cañete Rebenaque, David Gómez Díaz, Juan Sebastián Melcón Álvarez, Alejandro |
| author |
Pascual García, Juan |
| author_facet |
Pascual García, Juan Quesada Pereira, Fernando Daniel Cañete Rebenaque, David Gómez Díaz, Juan Sebastián Melcón Álvarez, Alejandro |
| author_role |
author |
| author2 |
Quesada Pereira, Fernando Daniel Cañete Rebenaque, David Gómez Díaz, Juan Sebastián Melcón Álvarez, Alejandro |
| author2_role |
author author author author |
| dc.contributor.none.fl_str_mv |
Grupo Electromagnetismo Aplicado a las Telecomunicaciones |
| dc.subject.none.fl_str_mv |
Neural Networks Microwave filters Microstrip fliters Filter design techniques Teoría de la Señal y las Comunicaciones 2202.10 Radioondas y Microondas |
| topic |
Neural Networks Microwave filters Microstrip fliters Filter design techniques Teoría de la Señal y las Comunicaciones 2202.10 Radioondas y Microondas |
| description |
In this work, we propose a novel technique based on neural networks, for the design of microwave filters in shielded printed technology. The technique uses radial basis function neural networks to represent the non linear relations between the quality factors and coupling coefficients, with the geometrical dimensions of the resonators. The radial basis function neural networks are employed for the first time in the design task of shielded printed filters, and permit a fast and precise operation with only a limited set of training data. Thanks to a new cascade configuration, a set of two neural networks provide the dimensions of the complete filter in a fast and accurate way. To improve the calculation of the geometrical dimensions, the neural networks can take as inputs both electrical parameters and physical dimensions computed by other neural networks. The neural network technique is combined with gradient based optimization methods to further improve the response of the filters. Results are presented to demonstrate the usefulness of the proposed technique for the design of practical microwave printed coupled line and hairpin filters. |
| publishDate |
2009 |
| dc.date.none.fl_str_mv |
2009 2020 2020 |
| dc.type.none.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion |
| format |
article |
| status_str |
publishedVersion |
| dc.identifier.none.fl_str_mv |
https://onlinelibrary.wiley.com/doi/abs/10.1002/mmce.20363 http://hdl.handle.net/10317/8499 |
| url |
https://onlinelibrary.wiley.com/doi/abs/10.1002/mmce.20363 http://hdl.handle.net/10317/8499 |
| dc.language.none.fl_str_mv |
Inglés |
| language_invalid_str_mv |
Inglés |
| dc.rights.none.fl_str_mv |
Atribución-CompartirIgual 3.0 España © Copyright 2008 Wiley Periodicals, Inc. http://creativecommons.org/licenses/by-sa/3.0/es/ info:eu-repo/semantics/openAccess |
| rights_invalid_str_mv |
Atribución-CompartirIgual 3.0 España © Copyright 2008 Wiley Periodicals, Inc. http://creativecommons.org/licenses/by-sa/3.0/es/ |
| eu_rights_str_mv |
openAccess |
| dc.format.none.fl_str_mv |
application/pdf application/pdf |
| dc.publisher.none.fl_str_mv |
John Wiley |
| publisher.none.fl_str_mv |
John Wiley |
| dc.source.none.fl_str_mv |
reponame:Repositorio Digital UPCT instname:Universidad Politécnica de Cartagena(UPCT) |
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Universidad Politécnica de Cartagena(UPCT) |
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Repositorio Digital UPCT |
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Repositorio Digital UPCT |
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15,300719 |