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Please use this identifier to cite or link to this item: http://repository.iitr.ac.in/handle/123456789/8218
Title: Design of custom-made fractal multi-band antennas using ANN-PSO
Authors: Anuradha
Patnaik, Amalendu
Sinha S.N.
Published in: IEEE Antennas and Propagation Magazine
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. © 2006 IEEE.
Citation: IEEE Antennas and Propagation Magazine (2011), 53(4): 94-101
URI: https://doi.org/10.1109/MAP.2011.6097296
http://repository.iitr.ac.in/handle/123456789/8218
Issue Date: 2011
Keywords: artificial neural network
Fractal antennas
particle-swarm optimization
ISSN: 10459243
Author Scopus IDs: 57207559276
7102813204
7403739821
Author Affiliations: Anuradha, Department of Electronics and Computer Engineering, Indian Institute of Technology, Roorkee-247667, India
Patnaik, A., Department of Electronics and Computer Engineering, Indian Institute of Technology, Roorkee-247667, India
Sinha, S.N., Department of Electronics and Computer Engineering, Indian Institute of Technology, Roorkee-247667, India
Corresponding Author: Anuradha; Department of Electronics and Computer Engineering, Indian Institute of Technology, Roorkee-247667, India; email: anuradhasonker@yahoo.co.in
Appears in Collections:Journal Publications [ECE]

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