基于共生生物搜索算法的x波段锥形喇叭天线指向性优化

Reyhan Sağ Örnek, Osman Kerem Ateş, Ahmet Yahya Boğa, Yahya Danayiyen
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引用次数: 0

摘要

本文采用一种有效的元启发式优化方法——共生生物搜索(SOS)算法确定了锥形喇叭天线最大指向性参数的最优值。在MATLAB环境下,利用SOS算法对金字塔喇叭天线的设计参数、e面波导与孔径的距离、h面波导与孔径的距离、光斑宽度和光斑高度进行了优化计算。为了使算法适应天线的实际设计,选择了天线直径和指向性最小的优化函数。分析结果表明,SOS算法是一种优化天线设计的方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
X-Band Pyramidal Horn Antenna Directivity Optimization with Symbiotic Organism Search Algorithm
In this study, optimum values of maximum directivity antenna parameters in a pyramidal horn antenna are determined using the symbiotic organisms search (SOS) algorithm which is an effective metaheuristic optimization method. The design parameters, distance between waveguide and aperture in E-plane, distance between waveguide and aperture in H-plane, flare width and flare height of the pyramid horn antenna are optimally computed using SOS algorithm in MATLAB environment. An optimization function that minimizes the antenna’s diameter and directivity is selected in order to adapt the algorithm to the antenna design. The results of the analysis demonstrate that the SOS algorithm can be an optimal method to design the antenna.
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