Cad of stacked patch antennas through multipurpose admittance matrices from FEM and neural networks

TítuloCad of stacked patch antennas through multipurpose admittance matrices from FEM and neural networks
Tipo de publicaciónJournal Article
Year of Publication2008
AutoresCórcoles, J., M. A. González, and J. Zapata
JournalMicrowave and Optical Technology Letters
Volumen50
Pagination2411-2416
Date PublishedSep
ISSN1098-2760
Palabras clavecomputer-aided design, finite element methods, neural networks, optimization algorithms, stacked microstrip antennas
ResumenIn 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.
URLhttp://onlinelibrary.wiley.com/doi/10.1002/mop.23670/abstract
DOI10.1002/mop.23670