Certain investigations on the reduction of side lobe level of an uniform linear antenna array using biogeography based optimization technique with sinusoidal migration model and simplified-BBO
In this paper, we propose biogeography based optimization technique, with linear and sinusoidal migration models and simplified biogeography based optimization (S-BBO), for uniformly spaced linear antenna array synthesis to maximize the reduction of side lobe level (SLL). This paper explores biogeog...
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| Published in | Sadhana (Bangalore) Vol. 39; no. 1; pp. 81 - 95 |
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| Main Authors | , |
| Format | Journal Article |
| Language | English |
| Published |
India
Springer India
01.02.2014
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| Subjects | |
| Online Access | Get full text |
| ISSN | 0256-2499 0973-7677 |
| DOI | 10.1007/s12046-013-0220-7 |
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| Abstract | In this paper, we propose biogeography based optimization technique, with linear and sinusoidal migration models and simplified biogeography based optimization (S-BBO), for uniformly spaced linear antenna array synthesis to maximize the reduction of side lobe level (SLL). This paper explores biogeography theory. It generalizes two migration models in BBO namely, linear migration model and sinusoidal migration model. The performance of SLL reduction in ULA is investigated. Our performance study shows that among the two, sinusoidal migration model is a promising candidate for optimization. In our work, simplified – BBO algorithm is also deployed. This determines an optimum set value for amplitude excitations of antenna array elements that generate a radiation pattern with maximum side lobe level reduction. Our detailed investigation also shows that sinusoidal migration model of BBO performs better compared to the other evolutionary algorithms discussed in this paper. |
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| AbstractList | In this paper, we propose biogeography based optimization technique, with linear and sinusoidal migration models and simplified biogeography based optimization (S-BBO), for uniformly spaced linear antenna array synthesis to maximize the reduction of side lobe level (SLL). This paper explores biogeography theory. It generalizes two migration models in BBO namely, linear migration model and sinusoidal migration model. The performance of SLL reduction in ULA is investigated. Our performance study shows that among the two, sinusoidal migration model is a promising candidate for optimization. In our work, simplified - BBO algorithm is also deployed. This determines an optimum set value for amplitude excitations of antenna array elements that generate a radiation pattern with maximum side lobe level reduction. Our detailed investigation also shows that sinusoidal migration model of BBO performs better compared to the other evolutionary algorithms discussed in this paper. |
| Author | JEYALI LASEETHA, T S SUKANESH, R |
| Author_xml | – sequence: 1 givenname: T S surname: JEYALI LASEETHA fullname: JEYALI LASEETHA, T S email: laseetha@gmail.com organization: Department of Electronics and Communication Engineering, Rajiv Gandhi College of Engineering, Anna Unviersity – sequence: 2 givenname: R surname: SUKANESH fullname: SUKANESH, R organization: Department of Electronics and Communication Engineering, Thiagarajar College of Engineering |
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| Cites_doi | 10.1162/EVCO_a_00018 10.2528/PIERM09120201 10.1016/j.ins.2010.05.035 10.1109/TEVC.2008.919004 10.1002/047010628X |
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| Keywords | Biogeography based optimization; linear migration model; sinusoidal migration model; simplified-BBO; linear antenna array synthesis; side lobe level reduction |
| Language | English |
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| References | Randy L Haupt and Douglas H Werner 2007 Genetic Algorithms in Electromagnetics, IEEE PRESS, Wiley-Interscience Haiping MaAn analysis of the equilibrium of migration models for biogeography-based optimizationInformation Sciences201018034443464 SinghUKumarHKamalT SLinear array synthesis using biogeography based optimizationProgress Electromagnetics Res. M2010112536 Dan SimonA probabilistic analysis of a simplified biogeography-based optimization algorithmEvolutionary Computation Summer2011192167188 Dan Simon 2008 Biogeography-Based Optimization, IEEE Transactions on Evolutionary Computation. 12(6) Constantine A Balanis 2005 Antenna Theory: Analysis and Design 3rd Edition, John Wiley & Sons 220_CR1 220_CR6 220_CR4 220_CR5 220_CR2 220_CR3 |
| References_xml | – reference: Dan SimonA probabilistic analysis of a simplified biogeography-based optimization algorithmEvolutionary Computation Summer2011192167188 – reference: Haiping MaAn analysis of the equilibrium of migration models for biogeography-based optimizationInformation Sciences201018034443464 – reference: Constantine A Balanis 2005 Antenna Theory: Analysis and Design 3rd Edition, John Wiley & Sons – reference: Dan Simon 2008 Biogeography-Based Optimization, IEEE Transactions on Evolutionary Computation. 12(6) – reference: Randy L Haupt and Douglas H Werner 2007 Genetic Algorithms in Electromagnetics, IEEE PRESS, Wiley-Interscience – reference: SinghUKumarHKamalT SLinear array synthesis using biogeography based optimizationProgress Electromagnetics Res. M2010112536 – ident: 220_CR1 – ident: 220_CR3 doi: 10.1162/EVCO_a_00018 – ident: 220_CR6 doi: 10.2528/PIERM09120201 – ident: 220_CR5 doi: 10.1016/j.ins.2010.05.035 – ident: 220_CR2 doi: 10.1109/TEVC.2008.919004 – ident: 220_CR4 doi: 10.1002/047010628X |
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| SubjectTerms | Algorithms Amplitudes Antenna arrays Engineering Lobes Migration Optimization Reduction Synthesis |
| Title | Certain investigations on the reduction of side lobe level of an uniform linear antenna array using biogeography based optimization technique with sinusoidal migration model and simplified-BBO |
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