Design of customized fractal FSS

Author

Anuradha ; Patnaik, A. ; Sinha, S.N. ; Mosig, Juan R.

Author_Institution

Dept. of Electron. & Comput. Eng., Indian Inst. of Technol., Roorkee, India

fYear

2012

fDate

8-14 July 2012

Firstpage

1

Lastpage

2

Abstract

A Novel design approach is proposed for designing customized fractal frequency selective surfaces (FSS) by combining the merits of Artificial Neural Network (ANN) and Particle Swarm Optimization (PSO). The trained ANN developed for analysis of fractal FSS is embedded in the optimization loop of PSO to find out the design dimensions of the unit cell of fractal FSS for user-defined stop band frequencies. The developed methodology is tested with Sierpinski carpet as the candidate structure and the effectiveness of the developed approach is confirmed by the simulation results.

Keywords

computational electromagnetics; frequency selective surfaces; neural nets; particle swarm optimisation; PSO; Sierpinski carpet; artificial neural network; customized FSS; customized fractal FSS design; fractal FSS; fractal frequency selective surfaces; particle swarm optimization; user-defined stop band frequencies; Artificial neural networks; Fractals; Frequency response; Frequency selective surfaces; Optimization; Particle swarm optimization; Training;

fLanguage

English

Publisher

ieee

Conference_Titel

Antennas and Propagation Society International Symposium (APSURSI), 2012 IEEE

Conference_Location

Chicago, IL

ISSN

1522-3965

Print_ISBN

978-1-4673-0461-0

Type

conf

DOI

10.1109/APS.2012.6348599

Filename

6348599