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1796-2021 (Online); 2374-4367 (Print)
Prof. Maode Ma
Prof. Jalel Ben-Othman, Prof. Nobuo Funabiki
Prof. Jason Z. Kang
or comments to
Prof. Maode Ma
College of Engineering, Qatar University, Doha, Qatar
I'm very happy and honored to take on the position of editor-in-chief of JCM, which is a high-quality journal with potential and I'll try my every effort to bring JCM to a next level...
Volume 17, No. 7 has been published online!
Welcome Prof. Sherali Zeadally from USA to join the Editorial board of JCM.
Volume 17, No. 4-5 has been indexed by Scopus.
Volume 17, No. 7, July 2022
A Proposed Method for Synthesizing the Radiation Pattern of Linear Antenna Arrays
Amin Al Ka’bi
Australian College of Kuwait, Kuwait
—The design of antenna arrays is one of the most challenging optimization problems in recent research interests. In this research work a new method of optimization is proposed. This method called "Characteristics Evolution Optimization" is based on parallel processing of streams of binary digits, and hence it can perform well in parallel processing digital systems. In this article, a 16 - element linear antenna array has been taken into consideration, and the performance of the proposed technique for synthesizing the radiation pattern of the array has been investigated and compared with other existing techniques, such as DE (Differential Evolution), IWO (Invasive Weed Optimization), and PSO (Particle Swarm Optimization). Various variants of Invasive Weed Optimization have been investigated as well. It has been observed that the proposed method (Characteristics Evolution optimization) outperforms the other optimization techniques significantly in different aspects.
—Pattern synthesis, linear array, antenna arrayscharacteristics evolution optimization, radiation patterns
Cite: Amin Al Ka'bi, "A Proposed Method for Synthesizing the Radiation Pattern of Linear Antenna Arrays," Journal of Communications vol. 17, no. 7, pp. 553-558, July 2022. Doi: 10.12720/jcm.17.7.553-558
Copyright © 2022 by the authors. This is an open access article distributed under the Creative Commons Attribution License (
CC BY-NC-ND 4.0
), which permits use, distribution and reproduction in any medium, provided that the article is properly cited, the use is non-commercial and no modifications or adaptations are made.
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