Digitally Excited Reconfigurable Linear Antenna Array Using Swarm Optimization Algorithms
This paper describes the synthesis of digitally excited pencil/flat top dual beams simultaneously in a linear antenna array constructed of isotropic elements. The objective is to generate a pencil/flat top beam pair using the excitations generated by the evolutionary algorithms. Both the beams share...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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Iran University of Science and Technology
2020-06-01
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| Series: | Iranian Journal of Electrical and Electronic Engineering |
| Subjects: | |
| Online Access: | http://ijeee.iust.ac.ir/article-1-1430-en.html |
| _version_ | 1818057056853164032 |
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| author | D. Jamunaa G. K. Mahanti F. N. Hasoon |
| author_facet | D. Jamunaa G. K. Mahanti F. N. Hasoon |
| author_sort | D. Jamunaa |
| collection | DOAJ |
| description | This paper describes the synthesis of digitally excited pencil/flat top dual beams simultaneously in a linear antenna array constructed of isotropic elements. The objective is to generate a pencil/flat top beam pair using the excitations generated by the evolutionary algorithms. Both the beams share common variable discrete amplitude excitations and differ in variable discrete phase excitations. This synthesis is treated as a multi-objective optimization problem and is handled by Quantum Particle Swarm Optimization algorithm duly controlling the fitness functions. These functions include many of the radiation pattern parameters like side lobe level, half power beam width and beam width at the side lobe level in both the beams along with the ripple in the flat top band of flat top beam. In addition to it, the dynamic range ratio of the amplitudes excitations is set below a certain level to diminish the mutual coupling effects in the array. Two sets of experiments are conducted and the effectiveness of this algorithm is proved by comparing it with various versions of swarm optimization algorithms. |
| first_indexed | 2024-12-10T12:38:40Z |
| format | Article |
| id | doaj.art-34bccd1e79974c7cbd5838732b40216d |
| institution | Directory Open Access Journal |
| issn | 1735-2827 2383-3890 |
| language | English |
| last_indexed | 2024-12-10T12:38:40Z |
| publishDate | 2020-06-01 |
| publisher | Iran University of Science and Technology |
| record_format | Article |
| series | Iranian Journal of Electrical and Electronic Engineering |
| spelling | doaj.art-34bccd1e79974c7cbd5838732b40216d2022-12-22T01:48:35ZengIran University of Science and TechnologyIranian Journal of Electrical and Electronic Engineering1735-28272383-38902020-06-01162146152Digitally Excited Reconfigurable Linear Antenna Array Using Swarm Optimization AlgorithmsD. Jamunaa0G. K. Mahanti1F. N. Hasoon2 Department of Electronics and Communication Engineering, National Institute of Technology, Durgapur, West Bengal, India. Department of Electronics and Communication Engineering, National Institute of Technology, Durgapur, West Bengal, India. Department of Electrical and Communication Engineering, College of Engineering, National University of Science and Technology (NUST), Sultanate of Oman. This paper describes the synthesis of digitally excited pencil/flat top dual beams simultaneously in a linear antenna array constructed of isotropic elements. The objective is to generate a pencil/flat top beam pair using the excitations generated by the evolutionary algorithms. Both the beams share common variable discrete amplitude excitations and differ in variable discrete phase excitations. This synthesis is treated as a multi-objective optimization problem and is handled by Quantum Particle Swarm Optimization algorithm duly controlling the fitness functions. These functions include many of the radiation pattern parameters like side lobe level, half power beam width and beam width at the side lobe level in both the beams along with the ripple in the flat top band of flat top beam. In addition to it, the dynamic range ratio of the amplitudes excitations is set below a certain level to diminish the mutual coupling effects in the array. Two sets of experiments are conducted and the effectiveness of this algorithm is proved by comparing it with various versions of swarm optimization algorithms.http://ijeee.iust.ac.ir/article-1-1430-en.htmlreconfigurable antenna arrayqpso algorithmdigital attenuatordigital phase shifterswarm optimization. |
| spellingShingle | D. Jamunaa G. K. Mahanti F. N. Hasoon Digitally Excited Reconfigurable Linear Antenna Array Using Swarm Optimization Algorithms Iranian Journal of Electrical and Electronic Engineering reconfigurable antenna array qpso algorithm digital attenuator digital phase shifter swarm optimization. |
| title | Digitally Excited Reconfigurable Linear Antenna Array Using Swarm Optimization Algorithms |
| title_full | Digitally Excited Reconfigurable Linear Antenna Array Using Swarm Optimization Algorithms |
| title_fullStr | Digitally Excited Reconfigurable Linear Antenna Array Using Swarm Optimization Algorithms |
| title_full_unstemmed | Digitally Excited Reconfigurable Linear Antenna Array Using Swarm Optimization Algorithms |
| title_short | Digitally Excited Reconfigurable Linear Antenna Array Using Swarm Optimization Algorithms |
| title_sort | digitally excited reconfigurable linear antenna array using swarm optimization algorithms |
| topic | reconfigurable antenna array qpso algorithm digital attenuator digital phase shifter swarm optimization. |
| url | http://ijeee.iust.ac.ir/article-1-1430-en.html |
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