Wideband patch antenna design using selective particle swarm optimization
This paper presents an optimization technique for wideband patch antennas using selective particle swarm optimization (SPSO). SPSO is an improved variant of particle swarm optimization (PSO). Here, a special part of solution space is selected for PSO process. An application of this algorithm is deve...
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American-Eurasian Network for Scientific Information (AENSI), Jordan
2012
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Online Access: | http://irep.iium.edu.my/29320/ http://irep.iium.edu.my/29320/ http://irep.iium.edu.my/29320/1/431-433.pdf |
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iium-293202013-09-12T02:57:18Z http://irep.iium.edu.my/29320/ Wideband patch antenna design using selective particle swarm optimization Md. , Moniruzzaman Islam, Md. Rafiqul Kamaruzzaman , Sopian Zaidi, Saleem H. TA Engineering (General). Civil engineering (General) This paper presents an optimization technique for wideband patch antennas using selective particle swarm optimization (SPSO). SPSO is an improved variant of particle swarm optimization (PSO). Here, a special part of solution space is selected for PSO process. An application of this algorithm is developed for wideband patch antenna optimization. A stripes based antenna is designed by utilizing this algorithm. The performance of the antenna is observed by industry standard electromagnetic simulation software. The antenna shows 41.8 % bandwidth at -10 dB return loss, which is suitable for wideband applications. American-Eurasian Network for Scientific Information (AENSI), Jordan 2012 Article PeerReviewed application/pdf en http://irep.iium.edu.my/29320/1/431-433.pdf Md. , Moniruzzaman and Islam, Md. Rafiqul and Kamaruzzaman , Sopian and Zaidi, Saleem H. (2012) Wideband patch antenna design using selective particle swarm optimization. Journal of Applied Sciences Research, 8 (1). pp. 431-433. ISSN 1819-544X http://www.aensiweb.com/jasr/jasr/2012/431-433.pdf |
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Digital Repository |
institution_category |
Local University |
institution |
International Islamic University Malaysia |
building |
IIUM Repository |
collection |
Online Access |
language |
English |
topic |
TA Engineering (General). Civil engineering (General) |
spellingShingle |
TA Engineering (General). Civil engineering (General) Md. , Moniruzzaman Islam, Md. Rafiqul Kamaruzzaman , Sopian Zaidi, Saleem H. Wideband patch antenna design using selective particle swarm optimization |
description |
This paper presents an optimization technique for wideband patch antennas using selective particle swarm optimization (SPSO). SPSO is an improved variant of particle swarm optimization (PSO). Here, a special part of solution space is selected for PSO process. An application of this algorithm is developed for wideband patch antenna optimization. A stripes based antenna is designed by utilizing this algorithm. The performance of the antenna is observed by industry standard electromagnetic simulation software. The antenna shows 41.8 % bandwidth at -10 dB return loss, which is suitable for wideband applications. |
format |
Article |
author |
Md. , Moniruzzaman Islam, Md. Rafiqul Kamaruzzaman , Sopian Zaidi, Saleem H. |
author_facet |
Md. , Moniruzzaman Islam, Md. Rafiqul Kamaruzzaman , Sopian Zaidi, Saleem H. |
author_sort |
Md. , Moniruzzaman |
title |
Wideband patch antenna design using selective particle swarm optimization |
title_short |
Wideband patch antenna design using selective particle swarm optimization |
title_full |
Wideband patch antenna design using selective particle swarm optimization |
title_fullStr |
Wideband patch antenna design using selective particle swarm optimization |
title_full_unstemmed |
Wideband patch antenna design using selective particle swarm optimization |
title_sort |
wideband patch antenna design using selective particle swarm optimization |
publisher |
American-Eurasian Network for Scientific Information (AENSI), Jordan |
publishDate |
2012 |
url |
http://irep.iium.edu.my/29320/ http://irep.iium.edu.my/29320/ http://irep.iium.edu.my/29320/1/431-433.pdf |
first_indexed |
2018-09-07T05:11:11Z |
last_indexed |
2018-09-07T05:11:11Z |
_version_ |
1610924237989609472 |