Design of Custom-Made Fractal Multi-Band Antennas Using ANN-PSO [Antenna Designer´s Notebook]

Author

Anuradha ; Patnaik, A. ; Sinha, S.N.

Author_Institution

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

Volume

53

Issue

4

fYear

2011

Firstpage

94

Lastpage

101

Abstract

We present a design procedure for making custom-made fractal antennas using artificial neural networks (ANN) and the Particle-Swarm Optimization (PSO) technique. The role of the artificial neural network is to form a mapping between the design parameters of the fractal antenna and its operational frequencies. The role of Particle-Swarm Optimization is to find the shape of the antenna for the required user-defined frequencies, using the previously trained artificial neural network. Sierpinski gasket and Koch monopole antennas were taken as the candidate antennas, and the effectiveness of the developed approach was confirmed by simulation and experimental results. Antenna shapes at various user-defined frequencies were designed and tested.

Keywords

fractal antennas; monopole antennas; multifrequency antennas; neural nets; particle swarm optimisation; ANN-PSO; Koch monopole antennas; Sierpinski gasket; antenna shapes; artificial neural networks; custom-made fractal multiband antennas; particle swarm optimization; Artificial neural networks; Design methodology; Fractal antennas; Particle swarm optimization; Power capacitors; Fractal antennas; artificial neural network; particle-swarm optimization;

fLanguage

English

Journal_Title

Antennas and Propagation Magazine, IEEE

Publisher

ieee

ISSN

1045-9243

Type

jour

DOI

10.1109/MAP.2011.6097296

Filename

6097296