Shaped Beam Pattern Synthesis of Antenna Arrays Using Composite Differential Evolution with Eigenvector-Based Crossover Operator
This paper addresses the problem of designing shaped beam patterns with arbitrary arrays subject to constraints. The constraints could include the sidelobe level suppression in specified angular intervals, the mainlobe halfpower beamwidth, and the predefined number of elements. In this paper, we pro...
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Series: | International Journal of Antennas and Propagation |
Online Access: | http://dx.doi.org/10.1155/2015/295012 |
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doaj-7fd57bbfc33046619a9f03ec09dafe5d2020-11-24T22:59:40ZengHindawi LimitedInternational Journal of Antennas and Propagation1687-58691687-58772015-01-01201510.1155/2015/295012295012Shaped Beam Pattern Synthesis of Antenna Arrays Using Composite Differential Evolution with Eigenvector-Based Crossover OperatorSotirios K. Goudos0Radiocommunications Laboratory, Section of Applied and Environmental Physics, Department of Physics, Aristotle University of Thessaloniki, 54124 Thessaloniki, GreeceThis paper addresses the problem of designing shaped beam patterns with arbitrary arrays subject to constraints. The constraints could include the sidelobe level suppression in specified angular intervals, the mainlobe halfpower beamwidth, and the predefined number of elements. In this paper, we propose a new Differential Evolution algorithm, which combines Composite DE with an eigenvector-based crossover operator (CODE-EIG). This operator utilizes eigenvectors of covariance matrix of individual solutions, which makes the crossover rotationally invariant. We apply this novel design method to shaped beam pattern synthesis for linear and conformal arrays. We compare this algorithm with other popular algorithms and DE variants. The results show CODE-EIG outperforms the other DE algorithms in terms of statistical results and convergence speed.http://dx.doi.org/10.1155/2015/295012 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Sotirios K. Goudos |
spellingShingle |
Sotirios K. Goudos Shaped Beam Pattern Synthesis of Antenna Arrays Using Composite Differential Evolution with Eigenvector-Based Crossover Operator International Journal of Antennas and Propagation |
author_facet |
Sotirios K. Goudos |
author_sort |
Sotirios K. Goudos |
title |
Shaped Beam Pattern Synthesis of Antenna Arrays Using Composite Differential Evolution with Eigenvector-Based Crossover Operator |
title_short |
Shaped Beam Pattern Synthesis of Antenna Arrays Using Composite Differential Evolution with Eigenvector-Based Crossover Operator |
title_full |
Shaped Beam Pattern Synthesis of Antenna Arrays Using Composite Differential Evolution with Eigenvector-Based Crossover Operator |
title_fullStr |
Shaped Beam Pattern Synthesis of Antenna Arrays Using Composite Differential Evolution with Eigenvector-Based Crossover Operator |
title_full_unstemmed |
Shaped Beam Pattern Synthesis of Antenna Arrays Using Composite Differential Evolution with Eigenvector-Based Crossover Operator |
title_sort |
shaped beam pattern synthesis of antenna arrays using composite differential evolution with eigenvector-based crossover operator |
publisher |
Hindawi Limited |
series |
International Journal of Antennas and Propagation |
issn |
1687-5869 1687-5877 |
publishDate |
2015-01-01 |
description |
This paper addresses the problem of designing shaped beam patterns with arbitrary arrays subject to constraints. The constraints could include the sidelobe level suppression in specified angular intervals, the mainlobe halfpower beamwidth, and the predefined number of elements. In this paper, we propose a new Differential Evolution algorithm, which combines Composite DE with an eigenvector-based crossover operator (CODE-EIG). This operator utilizes eigenvectors of covariance matrix of individual solutions, which makes the crossover rotationally invariant. We apply this novel design method to shaped beam pattern synthesis for linear and conformal arrays. We compare this algorithm with other popular algorithms and DE variants. The results show CODE-EIG outperforms the other DE algorithms in terms of statistical results and convergence speed. |
url |
http://dx.doi.org/10.1155/2015/295012 |
work_keys_str_mv |
AT sotirioskgoudos shapedbeampatternsynthesisofantennaarraysusingcompositedifferentialevolutionwitheigenvectorbasedcrossoveroperator |
_version_ |
1725644302615314432 |