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

Mistry, K.K., Lazaridis, P.I, Zaharis, Z.D., Akinsolu, Mobayode O., Liu, Bo, Xenos, T.D., Glover, I.A. and Prasad, R. (2019) Time and Frequency Domain Simulation, Measurement and Optimization of Log-Periodic Antennas. Wireless Personal Communications. pp. 1-13. ISSN 1572-834X


Download (1MB) | Preview


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.

Item Type: Article
Keywords: Boom, CST, Dipoles, Directivity, Electromagnetic compatibility, Evolutionary algorithms, Gain, Log-periodic antenna, LPDA, Measurements, Optimization, TV reception, UHF.
Divisions: Applied Science, Computing and Engineering
Depositing User: Hayley Dennis
Date Deposited: 18 Jun 2019 10:58
Last Modified: 18 Jun 2019 10:58
URI: https://glyndwr.repository.guildhe.ac.uk/id/eprint/17442

Actions (login required)

Edit Item Edit Item