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Evolutionary Computing Tools based Design of Elliptical Antenna Array for Amplitude-Position Technique
Journal of Scientific & Industrial Research ( IF 0.6 ) Pub Date : 2021-03-11
B S S V Ramesh Babu, P S R Chowdary, Satyasis Mishra

The work presented in this paper refers to synthesis of elliptical antenna array for a desired radiation pattern in which the SLL is optimized using evolutionary computation algorithms like Accelerated Particle Swarm Optimization (APSO), Flower Pollination (FPA) and Antlion Optimization (ALO) algorithms. The amplitude-position technique of synthesis is used in which both amplitude and angular positions of the element on the circumference of the ellipse are determined using the evolutionary computing algorithms. The simulation-based experimentation is carried out for elliptical array of 12 and 20 elements arranged aperiodically with non-uniform amplitude distribution. The Simulations are performed in MATLAB 2019 and SLL are obtained from the corresponding radiation pattern for analysis.

中文翻译:

基于进化计算工具的振幅位置椭圆天线阵列设计

本文介绍的工作涉及针对所需辐射图的椭圆形天线阵列的合成,其中使用诸如加速粒子群优化(APSO),花授粉(FPA)和蚁狮优化(ALO)算法之类的进化计算算法来优化SLL。使用合成的振幅位置技术,其中使用进化计算算法确定元素在椭圆圆周上的振幅和角度位置。对非周期性振幅分布不规则排列的12和20个元素的椭圆阵列进行了基于模拟的实验。在MATLAB 2019中执行仿真,并从相应的辐射图获得SLL进行分析。
更新日期:2021-03-11
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