Antenna design using particle swarm optimization
This paper presents an optimization technique for microstrip antennas, designed for ambient electro-magnetic energy (AEME) harvesting application, using particle swarm optimization (PSO). Here PSO is applied in multiple levels. Using PSO, two new stripes based microstrip antennas for AEME harvesting...
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Online Access: | http://irep.iium.edu.my/18093/ http://irep.iium.edu.my/18093/ http://irep.iium.edu.my/18093/1/IJElectomagnetism_17-22.pdf |
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iium-180932013-09-12T02:56:19Z http://irep.iium.edu.my/18093/ Antenna design using particle swarm optimization Md. , Moniruzzaman Islam, Md. Rafiqul Kamaruzzaman , Sopian Saleem , H. Zaidi TK5101 Telecommunication. Including telegraphy, radio, radar, television This paper presents an optimization technique for microstrip antennas, designed for ambient electro-magnetic energy (AEME) harvesting application, using particle swarm optimization (PSO). Here PSO is applied in multiple levels. Using PSO, two new stripes based microstrip antennas for AEME harvesting application are designed without prior knowledge of patch or ground plane geometry. For multiple levels of PSO, each stripe of the stripes based antenna is divided in many sub-stripes. These sub-stripes are then optimized to improve the antenna performance. Utilizing PSO with single and multiple levels, two separate antennas are designed, evaluated and compared. The stripes based antenna, designed by PSO with single level, provided 96% fractional band width (FBW) at -10 dB return loss. Applying PSO with multiple levels on the same antenna, the FBW was increased to 119%. Scientific & Acedemic Publishing 2011 Article NonPeerReviewed application/pdf en http://irep.iium.edu.my/18093/1/IJElectomagnetism_17-22.pdf Md. , Moniruzzaman and Islam, Md. Rafiqul and Kamaruzzaman , Sopian and Saleem , H. Zaidi (2011) Antenna design using particle swarm optimization. International Journal of Electromagnetism and Applications, 2 (1). pp. 17-22. ISSN 2168-5037 (In Press) http://www.sapub.org/journal/archive.aspx?journalid=1080 |
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TK5101 Telecommunication. Including telegraphy, radio, radar, television |
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TK5101 Telecommunication. Including telegraphy, radio, radar, television Md. , Moniruzzaman Islam, Md. Rafiqul Kamaruzzaman , Sopian Saleem , H. Zaidi Antenna design using particle swarm optimization |
description |
This paper presents an optimization technique for microstrip antennas, designed for ambient electro-magnetic energy (AEME) harvesting application, using particle swarm optimization (PSO). Here PSO is applied in multiple levels. Using PSO, two new stripes based microstrip antennas for AEME harvesting application are designed without prior knowledge of patch or ground plane geometry. For multiple levels of PSO, each stripe of the stripes based antenna is divided in many sub-stripes. These sub-stripes are then optimized to improve the antenna performance. Utilizing PSO with single and multiple levels, two separate antennas are designed, evaluated and compared. The stripes based antenna, designed by PSO with single level, provided 96% fractional band width (FBW) at -10 dB return loss. Applying PSO with multiple levels on the same antenna, the FBW was increased to 119%. |
format |
Article |
author |
Md. , Moniruzzaman Islam, Md. Rafiqul Kamaruzzaman , Sopian Saleem , H. Zaidi |
author_facet |
Md. , Moniruzzaman Islam, Md. Rafiqul Kamaruzzaman , Sopian Saleem , H. Zaidi |
author_sort |
Md. , Moniruzzaman |
title |
Antenna design using particle swarm optimization |
title_short |
Antenna design using particle swarm optimization |
title_full |
Antenna design using particle swarm optimization |
title_fullStr |
Antenna design using particle swarm optimization |
title_full_unstemmed |
Antenna design using particle swarm optimization |
title_sort |
antenna design using particle swarm optimization |
publisher |
Scientific & Acedemic Publishing |
publishDate |
2011 |
url |
http://irep.iium.edu.my/18093/ http://irep.iium.edu.my/18093/ http://irep.iium.edu.my/18093/1/IJElectomagnetism_17-22.pdf |
first_indexed |
2023-09-18T20:27:05Z |
last_indexed |
2023-09-18T20:27:05Z |
_version_ |
1777408488352251904 |