Please use this identifier to cite or link to this item: https://www.um.edu.mt/library/oar/handle/123456789/24049
Title: Genetic algorithm application on a tightly coupled array antenna
Authors: Farhat, Iman Omar
Zarb Adami, Kristian
Abela, John
Sammut, Charles V.
Keywords: Genetic algorithms
Phased array antennas
Impedance matching
Issue Date: 2017
Publisher: Institute of Electrical and Electronics Engineers Inc.
Citation: Farhat, I. O., Zarb Adami, K., Abela, J., & Sammut, C. V. (2017). Genetic algorithm application on a tightly coupled array antenna. 11th European Conference on Antennas and Propagation (EUCAP), Paris. 2281-2285.
Abstract: A synthesis of a GA and an EM application to guide the design and optimisation of tightly coupled phased array antennas is proposed. Some analysis and tested results are provided. This technique is biased to satisfy certain desired specifications subject to the mid-frequency SKA radio astronomy. Tightly coupled arrays are a practical realisation of the current sheet model (CSA) for an array with a wideband characteristic. However, the analysis aims for an optimal impedance matching response. Technically, the EM programme computes the electrical property of the antenna design in an implemented MATLAB optimisation loop. The design is verified using both simulations and measurements of a manufactured prototype. A wide bandwidth was achieved exceeding the design specifications set out.
URI: https://www.um.edu.mt/library/oar//handle/123456789/24049
Appears in Collections:Scholarly Works - FacSciPhy
Scholarly Works - InsSSA

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