IWO-based synthesis of log-periodic dipole array

Zaharis, Zaharias D.; Skeberis, Christos; Xenos, Thomas D.; Lazaridis, Pavlos I.; Stratakis, Dimitrios

doi:10.1109/temu.2014.6917752

Cited by 12 publications

(8 citation statements)

References 25 publications

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“…The evolutionary optimization algorithms compared in this study are Invasive Weed Optimization (IWO) [ Li et al ., ; Sedighy et al ., ; Mallahzadeh et al ., ; Pal et al ., ; Zaharis et al ., ; Lazaridis et al ., ], Adaptive IWO (ADIWO) [ Zaharis et al ., , , ], Particle Swarm Optimization (PSO) [ Pantoja et al ., ; Golubovic and Olcan , ; Aziz‐ul‐Haq et al ., ; Zaharis et al ., , ], Differential Evolution (DE) [ Kampitaki et al ., ], and Taguchi. In order to compare the results of each optimization algorithm, the algorithms were applied to an LPDA antenna for the UHF‐TV band (470–790 MHz) with 10 dipoles and a rear shorting stub.…”

Section: Simulations and Resultsmentioning

confidence: 99%

Comparison of evolutionary algorithms for LPDA antenna optimization

et al. 2016

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Key Points:• An LPDA antenna has been optimized by five evolutionary algorithms.• The best overall performance is exhibited by the IWO algorithm.• IWO produces the best fitness value but it also has the slowest convergence. AbstractA novel approach to broadband log-periodic antenna design is presented, where some of the most powerful evolutionary algorithms (EAs) are applied and compared for the optimal design of wire log-periodic dipole arrays (LPDA) using NEC (Numerical Electromagnetics Code). The target is to achieve an optimal antenna design with respect to maximum gain, gain flatness, Front to Rear ratio (F/R) and SWR (Standing Wave Ratio). The parameters of the LPDA optimized are the dipole lengths, the spacing between the dipoles, and the dipole wire diameters. The evolutionary algorithms compared are the: Differential Evolution (DE), Particle Swarm (PSO), Taguchi, Invasive Weed (IWO) and Adaptive Invasive Weed Optimization (ADIWO). Superior performance is achieved by the IWO (best results) and PSO (fast convergence) algorithms.

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Section: Simulations and Resultsmentioning

confidence: 99%

Comparison of evolutionary algorithms for LPDA antenna optimization

et al. 2016

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“…Measurement, simulation and optimization of wideband log-periodic antennas K. Mistry* (1) , P. Lazaridis (1) , I. Glover (1) , V. Holmes (1) , F. Khan (1) , Q. Ahmed (1) Z. Zaharis (2) and T. Xenos…”

Section: Nd Ursi Gass Montreal 19-26 August 2017mentioning

confidence: 99%

“…LPDAs present a flat gain and a flat frequency response within their wide frequency range of operation [1]. The gain of the antenna can be increased by increasing the number of dipoles [2].…”

Section: Introductionmentioning

confidence: 99%

Measurement, simulation and optimization of wideband log-periodic antennas

Mistry

Lazaridis

Glover

et al. 2017

2017 XXXIInd General Assembly and Scientific Symposium of the International Union of Radio Science (URSI GASS)

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Log-periodic antenna is a special antenna type utilized with great success in many broadband applications due to its ability to achieve nearly constant gain over a wide frequency range. Such antennas are extensively used in electromagnetic compatibility measurements, spectrum monitoring and TV reception. In this study, a log-periodic dipole array is measured, simulated, and then optimized in the 470-860 MHz frequency band. Two simulations of the antenna are initially performed in time and frequency domain respectively. The comparison between these simulations is presented to ensure accurate modelling of the antenna. The practically measured net gain is in good agreement with the simulated net gain. The antenna is then optimized to concurrently improve voltage standing wave ration, net gain and front-to-back ratio. The optimization process has been implemented by using various algorithms included in CST Microwave Studio, such as Trusted Region Framework, Nelder Mead Simplex algorithm, Classic Powell and Covariance Matrix Adaptation Evolutionary Strategy (CMA-ES). The Trusted Region Framework seems to have the best performance in sufficiently optimizing all predefined goals specified for the antenna.

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“…Log-periodic antennas are widely used because of their broadband characteristics in TV reception, electromagnetic compatibility measurements and wideband precision measurements. Log-periodic dipole arrays (LPDAs) present an almost flat gain over a wide operating bandwidth [1]. The gain of the antenna can be increased by increasing the number of dipoles [2].…”

Section: Introductionmentioning

confidence: 99%

Time and Frequency Domain Simulation, Measurement and Optimization of Log-Periodic Antennas

Mistry

Lazaridis

Zaharis

et al. 2019

Wireless Pers Commun

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Log-periodic antenna is a special antenna type utilized with great success in many broadband applications due to its ability to achieve nearly constant gain over a wide frequency range. Such antennas are extensively used in electromagnetic compatibility measurements, spectrum monitoring and TV reception. In this study, a log-periodic dipole array is measured, simulated, and then optimized in the 470-860 MHz frequency band. Two simulations of the antenna are initially performed in time and frequency domain respectively. The comparison between these simulations is presented to ensure accurate modelling of the antenna. The practically measured realized gain is in good agreement with the simulated realized gain. The antenna is then optimized to concurrently improve voltage standing wave ratio, realized gain and front-to-back ratio. The optimization process has been implemented by using various algorithms included in CST Microwave Studio, such as Trusted Region Framework, Nelder Mead Simplex algorithm, Classic Powell and Covariance Matrix Adaptation Evolutionary Strategy. The Trusted Region Framework algorithm seems to have the best performance in adequately optimizing all predefined goals specified for the antenna.

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IWO-based synthesis of log-periodic dipole array

Cited by 12 publications

References 25 publications

Comparison of evolutionary algorithms for LPDA antenna optimization

Comparison of evolutionary algorithms for LPDA antenna optimization

Measurement, simulation and optimization of wideband log-periodic antennas

Time and Frequency Domain Simulation, Measurement and Optimization of Log-Periodic Antennas

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