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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| Format: | Article |
| Language: | English |
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Wiley
2013-01-01
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| Series: | The Scientific World Journal |
| Online Access: | http://dx.doi.org/10.1155/2013/982017 |
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| author | Gopi Ram Durbadal Mandal Rajib Kar Sakti Prasad Ghoshal |
| author_facet | Gopi Ram Durbadal Mandal Rajib Kar Sakti Prasad Ghoshal |
| author_sort | Gopi Ram |
| collection | DOAJ |
| 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. |
| format | Article |
| id | doaj-art-7df925a1c645471e8d0c317605a82a8c |
| institution | Kabale University |
| issn | 1537-744X |
| language | English |
| publishDate | 2013-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | The Scientific World Journal |
| spelling | doaj-art-7df925a1c645471e8d0c317605a82a8c2025-02-03T01:03:04ZengWileyThe Scientific World Journal1537-744X2013-01-01201310.1155/2013/982017982017Optimized Hyper Beamforming of Linear Antenna Arrays Using Collective Animal BehaviourGopi Ram0Durbadal Mandal1Rajib Kar2Sakti Prasad Ghoshal3Department of Electronics and Communication Engineering, National Institute of Technology, Durgapur, IndiaDepartment of Electronics and Communication Engineering, National Institute of Technology, Durgapur, IndiaDepartment of Electronics and Communication Engineering, National Institute of Technology, Durgapur, IndiaDepartment of Electrical Engineering, National Institute of Technology, Durgapur, IndiaA 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.http://dx.doi.org/10.1155/2013/982017 |
| spellingShingle | Gopi Ram Durbadal Mandal Rajib Kar Sakti Prasad Ghoshal Optimized Hyper Beamforming of Linear Antenna Arrays Using Collective Animal Behaviour The Scientific World Journal |
| 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 |
| url | http://dx.doi.org/10.1155/2013/982017 |
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