Optimization Algorithms for Sidelobes SSL Reduction: A Comparative Study
Optimization Algorithms for Sidelobes SSL Reduction: A Comparative Study作者机构：Department of Computer Science Higher Institute of Applied Sciences of Sousse Sousse University Sousse Tunisia Department of Electrical Computer Engineering Faculty of Engineering King Abdulaziz University Jeddah Saudi Arabia
出 版 物：《Journal of Computer and Communications》 (电脑和通信（英文）)
年 卷 期：2024年第12卷第7期
页 面：120-132页
学科分类：0809[工学-电子科学与技术（可授工学、理学学位）] 08[工学]
主 题：SSL Radio Wave Interference SAR Linear Antenna Arrays Genetic Algorithm Chebyshev Particle Swarm Optimization
摘 要：The development of new technologies in smart cities is often hailed as it becomes a necessity to solve many problems like energy consumption and transportation. Wireless networks are part of these technologies but implementation of several antennas, using different frequency bandwidths for many applications might introduce a negative effect on human health security. In wireless networks, most antennas generate sidelobes SSL. SSL causes interference and can be an additional resource for RF power that can affect human being health. This paper aims to study algorithms that can reduce SSL. The study concerns typical uniform linear antenna arrays. Different optimum side lobe level reduction algorithms are presented. Genetic algorithm GA, Chebyshev, and Particle Swarm Optimization algorithm are used in the optimization process. A comparative study between the indicated algorithms in terms of stability, precision, and running time is shown. Results show that using these algorithms in optimizing antenna parameters can reduce SSL. A comparison of these algorithms is carried out and results show the difference between them in terms of running time and SSL reduction Level.
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