Exponential log-periodic antenna design using improved particle swarm optimization with velocity mutation

Zaharias D. Zaharis, Ioannis P. Gravas, Traianos V. Yioultsis, Pavlos I. Lazaridis, Ian A. Glover, Christos Skeberis, Thomas D. Xenos

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

A new log-periodic antenna (LPA) geometry is presented in this study. The LPA is considered to be composed of 14 wire dipoles with lengths and distances that follow an exponential rule. This geometry can be optimized by properly adjusting two specific parameters called length factor and spacing factor. To perform the optimization, we introduce an improved particle swarm optimization variant, which induces mutation on the velocities of the swarm, in combination with the CST Microwave Studio. The optimized exponential LPA is required to operate in 790-2500MHz frequency range, in order to cover the most usual services (2G, 3G, 4G, and Wi-Fi), and also to provide in this range the highest possible forward gain, gain flatness below 2dB, secondary lobe level less than -20dB with respect to the main lobe peak, and standing wave ratio below 1.9. The optimized geometry exhibits the effectiveness of the proposed optimization technique.

LanguageEnglish
Title of host publication2016 IEEE Conference on Electromagnetic Field Computation (CEFC)
PublisherInstitute of Electrical and Electronics Engineers Inc.
Number of pages1
ISBN (Electronic) 9781509010325
ISBN (Print)9781509010332
DOIs
Publication statusPublished - 16 Jan 2017
Event17th Biennial IEEE Conference on Electromagnetic Field Computation - Miami, United States
Duration: 13 Nov 201616 Nov 2016
Conference number: 17
http://cefc2016.org/ (Link to Conference Website)

Conference

Conference17th Biennial IEEE Conference on Electromagnetic Field Computation
Abbreviated titleIEEE CEFC 2016
CountryUnited States
CityMiami
Period13/11/1616/11/16
Internet address

Fingerprint

log periodic antennas
Log periodic antennas
antenna design
mutations
Particle swarm optimization (PSO)
Particle Swarm Optimization
Antenna
Mutation
lobes
optimization
Geometry
geometry
standing wave ratios
Wi-Fi
Studios
Standing Wave
Flatness
flatness
Swarm
Range of data

Cite this

Zaharis, Z. D., Gravas, I. P., Yioultsis, T. V., Lazaridis, P. I., Glover, I. A., Skeberis, C., & Xenos, T. D. (2017). Exponential log-periodic antenna design using improved particle swarm optimization with velocity mutation. In 2016 IEEE Conference on Electromagnetic Field Computation (CEFC) Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CEFC.2016.7815995
Zaharis, Zaharias D. ; Gravas, Ioannis P. ; Yioultsis, Traianos V. ; Lazaridis, Pavlos I. ; Glover, Ian A. ; Skeberis, Christos ; Xenos, Thomas D. / Exponential log-periodic antenna design using improved particle swarm optimization with velocity mutation. 2016 IEEE Conference on Electromagnetic Field Computation (CEFC). Institute of Electrical and Electronics Engineers Inc., 2017.
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title = "Exponential log-periodic antenna design using improved particle swarm optimization with velocity mutation",
abstract = "A new log-periodic antenna (LPA) geometry is presented in this study. The LPA is considered to be composed of 14 wire dipoles with lengths and distances that follow an exponential rule. This geometry can be optimized by properly adjusting two specific parameters called length factor and spacing factor. To perform the optimization, we introduce an improved particle swarm optimization variant, which induces mutation on the velocities of the swarm, in combination with the CST Microwave Studio. The optimized exponential LPA is required to operate in 790-2500MHz frequency range, in order to cover the most usual services (2G, 3G, 4G, and Wi-Fi), and also to provide in this range the highest possible forward gain, gain flatness below 2dB, secondary lobe level less than -20dB with respect to the main lobe peak, and standing wave ratio below 1.9. The optimized geometry exhibits the effectiveness of the proposed optimization technique.",
keywords = "Antenna optimization, Log-periodic antennas, Log-periodic dipole arrays, Particle swarm optimization",
author = "Zaharis, {Zaharias D.} and Gravas, {Ioannis P.} and Yioultsis, {Traianos V.} and Lazaridis, {Pavlos I.} and Glover, {Ian A.} and Christos Skeberis and Xenos, {Thomas D.}",
note = "{\circledC} {\circledC} 2017 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.",
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Zaharis, ZD, Gravas, IP, Yioultsis, TV, Lazaridis, PI, Glover, IA, Skeberis, C & Xenos, TD 2017, Exponential log-periodic antenna design using improved particle swarm optimization with velocity mutation. in 2016 IEEE Conference on Electromagnetic Field Computation (CEFC). Institute of Electrical and Electronics Engineers Inc., 17th Biennial IEEE Conference on Electromagnetic Field Computation, Miami, United States, 13/11/16. https://doi.org/10.1109/CEFC.2016.7815995

Exponential log-periodic antenna design using improved particle swarm optimization with velocity mutation. / Zaharis, Zaharias D.; Gravas, Ioannis P.; Yioultsis, Traianos V.; Lazaridis, Pavlos I.; Glover, Ian A.; Skeberis, Christos; Xenos, Thomas D.

2016 IEEE Conference on Electromagnetic Field Computation (CEFC). Institute of Electrical and Electronics Engineers Inc., 2017.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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T1 - Exponential log-periodic antenna design using improved particle swarm optimization with velocity mutation

AU - Zaharis, Zaharias D.

AU - Gravas, Ioannis P.

AU - Yioultsis, Traianos V.

AU - Lazaridis, Pavlos I.

AU - Glover, Ian A.

AU - Skeberis, Christos

AU - Xenos, Thomas D.

N1 - © © 2017 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.

PY - 2017/1/16

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N2 - A new log-periodic antenna (LPA) geometry is presented in this study. The LPA is considered to be composed of 14 wire dipoles with lengths and distances that follow an exponential rule. This geometry can be optimized by properly adjusting two specific parameters called length factor and spacing factor. To perform the optimization, we introduce an improved particle swarm optimization variant, which induces mutation on the velocities of the swarm, in combination with the CST Microwave Studio. The optimized exponential LPA is required to operate in 790-2500MHz frequency range, in order to cover the most usual services (2G, 3G, 4G, and Wi-Fi), and also to provide in this range the highest possible forward gain, gain flatness below 2dB, secondary lobe level less than -20dB with respect to the main lobe peak, and standing wave ratio below 1.9. The optimized geometry exhibits the effectiveness of the proposed optimization technique.

AB - A new log-periodic antenna (LPA) geometry is presented in this study. The LPA is considered to be composed of 14 wire dipoles with lengths and distances that follow an exponential rule. This geometry can be optimized by properly adjusting two specific parameters called length factor and spacing factor. To perform the optimization, we introduce an improved particle swarm optimization variant, which induces mutation on the velocities of the swarm, in combination with the CST Microwave Studio. The optimized exponential LPA is required to operate in 790-2500MHz frequency range, in order to cover the most usual services (2G, 3G, 4G, and Wi-Fi), and also to provide in this range the highest possible forward gain, gain flatness below 2dB, secondary lobe level less than -20dB with respect to the main lobe peak, and standing wave ratio below 1.9. The optimized geometry exhibits the effectiveness of the proposed optimization technique.

KW - Antenna optimization

KW - Log-periodic antennas

KW - Log-periodic dipole arrays

KW - Particle swarm optimization

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U2 - 10.1109/CEFC.2016.7815995

DO - 10.1109/CEFC.2016.7815995

M3 - Conference contribution

SN - 9781509010332

BT - 2016 IEEE Conference on Electromagnetic Field Computation (CEFC)

PB - Institute of Electrical and Electronics Engineers Inc.

ER -

Zaharis ZD, Gravas IP, Yioultsis TV, Lazaridis PI, Glover IA, Skeberis C et al. Exponential log-periodic antenna design using improved particle swarm optimization with velocity mutation. In 2016 IEEE Conference on Electromagnetic Field Computation (CEFC). Institute of Electrical and Electronics Engineers Inc. 2017 https://doi.org/10.1109/CEFC.2016.7815995