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Development of PSO-ANN Ensemble Hybrid Algorithm and Its Application in Compact Crown Circular Fractal Patch Antenna Design

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Abstract

The traditional methods of designing antennas are not suitable in case of fractal antennas due to non availability of accurate mathematical design expressions. Recently, ANN model relating the physical and electromagnetic parameters of the fractal antenna to be designed is used as objective function of the optimization algorithm and it has been shown as an effective approach. In presented paper, ANN ensemble model has been used as the objective function of a PSO algorithm to calculate the optimal dimensions of a circular fractal antenna for desired resonant frequency. It has been established that ANN ensemble has better performance than the constituent ANN models. The design accuracy of the proposed hybrid algorithm is validated through the simulation and experimental results of the designed antenna. The size reduction capability of the proposed fractal antenna is used to design an antenna for 5.8 GHz WLAN band with a size reduction of 41.64% compared to simple circular microstrip antenna. The miniaturization of the antenna will lead to the design of compact devices for wireless communication systems.

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Acknowledgements

The authors would like to thank IKG Punjab Technical University, Jalandhar, India for providing the opportunity to do this research work.

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Authors and Affiliations

  1. Guru Nanak Dev Engineering College, Ludhiana, Punjab Technical University, Jalandhar, Punjab, India

    Balwinder Singh Dhaliwal

  2. National Institute of Technical Teachers’ Training and Research, Chandigarh, India

    Shyam Sundar Pattnaik

  3. Biju Patnaik University of Technology, Rourkela, Odisha, India

    Shyam Sundar Pattnaik

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  1. Balwinder Singh Dhaliwal
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  2. Shyam Sundar Pattnaik
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Correspondence to Balwinder Singh Dhaliwal.

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Dhaliwal, B.S., Pattnaik, S.S. Development of PSO-ANN Ensemble Hybrid Algorithm and Its Application in Compact Crown Circular Fractal Patch Antenna Design. Wireless Pers Commun 96, 135–152 (2017). https://doi.org/10.1007/s11277-017-4157-8

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