CAD of Stacked Patch Antennas Through Multipurpose Admittance Matrices From FEM and Neural Networks

Córcoles Ortega, Juan; González de Aza, Miguel Ángel y Zapata Ferrer, Juan (2008). CAD of Stacked Patch Antennas Through Multipurpose Admittance Matrices From FEM and Neural Networks. "Microwave and Optical Technology Letters", v. 50 (n. 9); pp. 2411-2416. ISSN 0895-2477. https://doi.org/10.1002/mop.23670.

Descripción

Título: CAD of Stacked Patch Antennas Through Multipurpose Admittance Matrices From FEM and Neural Networks
Autor/es:
  • Córcoles Ortega, Juan
  • González de Aza, Miguel Ángel
  • Zapata Ferrer, Juan
Tipo de Documento: Artículo
Título de Revista/Publicación: Microwave and Optical Technology Letters
Fecha: Septiembre 2008
Volumen: 50
Materias:
Palabras Clave Informales: computer-aided design, finite element methods, neural networks, optimization algorithms, stacked microstrip antennas
Escuela: E.T.S.I. Telecomunicación (UPM)
Departamento: Electromagnetismo y Teoría de Circuitos [hasta 2014]
Licencias Creative Commons: Reconocimiento - Sin obra derivada - No comercial

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Resumen

In this work, a novel computer-aided design methodology for probe-fed, cavity-backed, stacked microstrip patch antennas is proposed. The methodology incorporates the rigor of a numerical technique, such as finite element methods, which, in turn, makes use of a newly developed procedure (multipurpose admittance matrices) to carry out a full-wave analysis in a given structure in spite of certain physical shapes and dimensions not yet being established. With the aid of this technique, we form a training set for a neural network, whose output is the desired response of the antenna according to the value of design parameters. Last, taking advantage of this neural network, we perform a global optimization through a genetic algorithm or simulated annealing to obtain a final design. The proposed methodology is validated through a real design whose numerical results are compared with measurements with good agreement.

Más información

ID de Registro: 2562
Identificador DC: http://oa.upm.es/2562/
Identificador OAI: oai:oa.upm.es:2562
Identificador DOI: 10.1002/mop.23670
URL Oficial: http://www3.interscience.wiley.com/journal/119881536/issue
Depositado por: Memoria Investigacion
Depositado el: 15 Abr 2010 10:47
Ultima Modificación: 20 Abr 2016 12:13
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