Low sidelobe synthesis of dipole arrays by element orientation selection using binary codec genetic algorithm

Li, M; Liu, Y; Chen, SL; Qin, PY; Guo, YJ

Low sidelobe synthesis of dipole arrays by element orientation selection using binary codec genetic algorithm

Li, M Liu, Y

Chen, SL

Qin, PY

Guo, YJ

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Publication Type:: Conference Proceeding
Citation:: 2017 11th European Conference on Antennas and Propagation, EUCAP 2017, 2017, pp. 2838 - 2840
Issue Date:: 2017-05-15

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Field	Value	Language
dc.contributor.author	Li, M	en_US
dc.contributor.author	Liu, Y https://orcid.org/0000-0001-5466-0184	en_US
dc.contributor.author	Chen, SL https://orcid.org/0000-0002-4275-0462	en_US
dc.contributor.author	Qin, PY https://orcid.org/0000-0001-8861-4143	en_US
dc.contributor.author	Guo, YJ https://orcid.org/0000-0001-6008-9682	en_US
dc.date.issued	2017-05-15	en_US
dc.identifier.citation	2017 11th European Conference on Antennas and Propagation, EUCAP 2017, 2017, pp. 2838 - 2840	en_US
dc.identifier.isbn	9788890701870	en_US
dc.identifier.uri	http://hdl.handle.net/10453/120038
dc.description.abstract	© 2017 Euraap. Selecting appropriate element orientations can significantly reduce the sidelobe level of the antenna array. In this paper, a binary coded genetic algorithm (BCGA) which selects the element orientations from specified discrete angles, is proposed to reduce the sidelobe level (SLL) of the array. Compared to the conventional GA, the BCGA is much faster in this application. Synthesis results show the effectiveness and efficiency of the proposed method.	en_US
dc.relation.ispartof	2017 11th European Conference on Antennas and Propagation, EUCAP 2017	en_US
dc.relation.isbasedon	10.23919/EuCAP.2017.7928467	en_US
dc.rights	info:eu-repo/semantics/openAccess
dc.title	Low sidelobe synthesis of dipole arrays by element orientation selection using binary codec genetic algorithm	en_US
dc.type	Conference Proceeding
utslib.for	100501 Antennas and Propagation	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Electrical and Data Engineering
pubs.organisational-group	/University of Technology Sydney/Strength - GBDTC - Global Big Data Technologies
utslib.copyright.status	open_access	*
pubs.publication-status	Published	en_US

Abstract:

© 2017 Euraap. Selecting appropriate element orientations can significantly reduce the sidelobe level of the antenna array. In this paper, a binary coded genetic algorithm (BCGA) which selects the element orientations from specified discrete angles, is proposed to reduce the sidelobe level (SLL) of the array. Compared to the conventional GA, the BCGA is much faster in this application. Synthesis results show the effectiveness and efficiency of the proposed method.

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http://hdl.handle.net/10453/120038