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Array pattern optimization for a steerable circular isotropic antenna array using the firefly algorithm

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Abstract

In this paper, a steerable isotropic circular array antenna is designed to reduce the side lobe level (SLL), using an evolutionary optimization technique. Particle swarm optimization and the firefly algorithm are used to reduce the SLL, as well as to steer the main beam in a specific direction. In this steerable circular array design, the amplitude excitations are optimized. The results show that the maximum SLL peak of the resultant patterns is as per requirements. Good performance is achieved in the array factor response and suppression of SLL for different numbers of array elements with different main beam steering angles.

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Acknowledgements

This work is part of a project funded by SERB, Department of Science & Technology-Government of India under the Grant SB/EMEQ-319/2013.

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Authors and Affiliations

  1. Department of ECE, NIT Durgapur, Durgapur, India

    Sudipta Banerjee & Durbadal Mandal

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  1. Sudipta Banerjee
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  2. Durbadal Mandal
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Correspondence to Sudipta Banerjee.

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Banerjee, S., Mandal, D. Array pattern optimization for a steerable circular isotropic antenna array using the firefly algorithm. J Comput Electron 16, 952–976 (2017). https://doi.org/10.1007/s10825-017-1049-9

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