Full text
Preview |
PDF
- Requires a PDF viewer, such as GSview, Xpdf or Adobe Acrobat Reader
Download (541kB) | Preview |
Córcoles Ortega, Juan, González de Aza, Miguel Ángel ORCID: https://orcid.org/0000-0003-2156-2611 and Zapata Ferrer, Juan
ORCID: https://orcid.org/0000-0003-3228-5621
(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.
Title: | CAD of Stacked Patch Antennas Through Multipurpose Admittance Matrices From FEM and Neural Networks |
---|---|
Author/s: |
|
Item Type: | Article |
Título de Revista/Publicación: | Microwave and Optical Technology Letters |
Date: | September 2008 |
ISSN: | 0895-2477 |
Volume: | 50 |
Subjects: | |
Freetext Keywords: | computer-aided design, finite element methods, neural networks, optimization algorithms, stacked microstrip antennas |
Faculty: | E.T.S.I. Telecomunicación (UPM) |
Department: | Electromagnetismo y Teoría de Circuitos [hasta 2014] |
Creative Commons Licenses: | Recognition - No derivative works - Non commercial |
Preview |
PDF
- Requires a PDF viewer, such as GSview, Xpdf or Adobe Acrobat Reader
Download (541kB) | Preview |
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.
Item ID: | 2562 |
---|---|
DC Identifier: | https://oa.upm.es/2562/ |
OAI Identifier: | oai:oa.upm.es:2562 |
DOI: | 10.1002/mop.23670 |
Official URL: | http://www3.interscience.wiley.com/journal/1198815... |
Deposited by: | Memoria Investigacion |
Deposited on: | 15 Apr 2010 10:47 |
Last Modified: | 20 Apr 2016 12:13 |