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Optimized Hyper Beamforming of Linear Antenna Arrays Using Collective Animal Behaviour

A novel optimization technique which is developed on mimicking the collective animal behaviour (CAB) is applied for the optimal design of hyper beamforming of linear antenna arrays. Hyper beamforming is based on sum and difference beam patterns of the array, each raised to the power of a hyperbeam e...

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Detalles Bibliográficos
Autores principales: Ram, Gopi, Mandal, Durbadal, Kar, Rajib, Ghoshal, Sakti Prasad
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi Publishing Corporation 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3736416/
https://www.ncbi.nlm.nih.gov/pubmed/23970843
http://dx.doi.org/10.1155/2013/982017
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author Ram, Gopi
Mandal, Durbadal
Kar, Rajib
Ghoshal, Sakti Prasad
author_facet Ram, Gopi
Mandal, Durbadal
Kar, Rajib
Ghoshal, Sakti Prasad
author_sort Ram, Gopi
collection PubMed
description A novel optimization technique which is developed on mimicking the collective animal behaviour (CAB) is applied for the optimal design of hyper beamforming of linear antenna arrays. Hyper beamforming is based on sum and difference beam patterns of the array, each raised to the power of a hyperbeam exponent parameter. The optimized hyperbeam is achieved by optimization of current excitation weights and uniform interelement spacing. As compared to conventional hyper beamforming of linear antenna array, real coded genetic algorithm (RGA), particle swarm optimization (PSO), and differential evolution (DE) applied to the hyper beam of the same array can achieve reduction in sidelobe level (SLL) and same or less first null beam width (FNBW), keeping the same value of hyperbeam exponent. Again, further reductions of sidelobe level (SLL) and first null beam width (FNBW) have been achieved by the proposed collective animal behaviour (CAB) algorithm. CAB finds near global optimal solution unlike RGA, PSO, and DE in the present problem. The above comparative optimization is illustrated through 10-, 14-, and 20-element linear antenna arrays to establish the optimization efficacy of CAB.
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spelling pubmed-37364162013-08-22 Optimized Hyper Beamforming of Linear Antenna Arrays Using Collective Animal Behaviour Ram, Gopi Mandal, Durbadal Kar, Rajib Ghoshal, Sakti Prasad ScientificWorldJournal Research Article A novel optimization technique which is developed on mimicking the collective animal behaviour (CAB) is applied for the optimal design of hyper beamforming of linear antenna arrays. Hyper beamforming is based on sum and difference beam patterns of the array, each raised to the power of a hyperbeam exponent parameter. The optimized hyperbeam is achieved by optimization of current excitation weights and uniform interelement spacing. As compared to conventional hyper beamforming of linear antenna array, real coded genetic algorithm (RGA), particle swarm optimization (PSO), and differential evolution (DE) applied to the hyper beam of the same array can achieve reduction in sidelobe level (SLL) and same or less first null beam width (FNBW), keeping the same value of hyperbeam exponent. Again, further reductions of sidelobe level (SLL) and first null beam width (FNBW) have been achieved by the proposed collective animal behaviour (CAB) algorithm. CAB finds near global optimal solution unlike RGA, PSO, and DE in the present problem. The above comparative optimization is illustrated through 10-, 14-, and 20-element linear antenna arrays to establish the optimization efficacy of CAB. Hindawi Publishing Corporation 2013-07-22 /pmc/articles/PMC3736416/ /pubmed/23970843 http://dx.doi.org/10.1155/2013/982017 Text en Copyright © 2013 Gopi Ram et al. https://creativecommons.org/licenses/by/3.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Ram, Gopi
Mandal, Durbadal
Kar, Rajib
Ghoshal, Sakti Prasad
Optimized Hyper Beamforming of Linear Antenna Arrays Using Collective Animal Behaviour
title Optimized Hyper Beamforming of Linear Antenna Arrays Using Collective Animal Behaviour
title_full Optimized Hyper Beamforming of Linear Antenna Arrays Using Collective Animal Behaviour
title_fullStr Optimized Hyper Beamforming of Linear Antenna Arrays Using Collective Animal Behaviour
title_full_unstemmed Optimized Hyper Beamforming of Linear Antenna Arrays Using Collective Animal Behaviour
title_short Optimized Hyper Beamforming of Linear Antenna Arrays Using Collective Animal Behaviour
title_sort optimized hyper beamforming of linear antenna arrays using collective animal behaviour
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3736416/
https://www.ncbi.nlm.nih.gov/pubmed/23970843
http://dx.doi.org/10.1155/2013/982017
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