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

doi:10.1109/CEFC.2016.7815995

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 proceeding › Conference contribution › peer-review

6 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.

Original language	English
Title of host publication	2016 IEEE Conference on Electromagnetic Field Computation (CEFC)
Publisher	Institute of Electrical and Electronics Engineers Inc.
Number of pages	1
ISBN (Electronic)	9781509010325
ISBN (Print)	9781509010332
DOIs	https://doi.org/10.1109/CEFC.2016.7815995
Publication status	Published - 16 Jan 2017
Event	17th Biennial IEEE Conference on Electromagnetic Field Computation - Miami, United States Duration: 13 Nov 2016 → 16 Nov 2016 Conference number: 17 http://cefc2016.org/ (Link to Conference Website)

Conference

Conference	17th Biennial IEEE Conference on Electromagnetic Field Computation
Abbreviated title	IEEE CEFC 2016
Country/Territory	United States
City	Miami
Period	13/11/16 → 16/11/16
Internet address	http://cefc2016.org/ (Link to Conference Website)

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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

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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 = "{\textcopyright} {\textcopyright} 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.; 17th Biennial IEEE Conference on Electromagnetic Field Computation, IEEE CEFC 2016 ; Conference date: 13-11-2016 Through 16-11-2016",

year = "2017",

month = jan,

day = "16",

doi = "10.1109/CEFC.2016.7815995",

language = "English",

isbn = "9781509010332",

booktitle = "2016 IEEE Conference on Electromagnetic Field Computation (CEFC)",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

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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, Florida, 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. et al.

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

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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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 - Conference code: 17

PY - 2017/1/16

Y1 - 2017/1/16

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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DO - 10.1109/CEFC.2016.7815995

M3 - Conference contribution

AN - SCOPUS:85011990032

SN - 9781509010332

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

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 17th Biennial IEEE Conference on Electromagnetic Field Computation

Y2 - 13 November 2016 through 16 November 2016

ER -

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

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