Magneto-Dielectric Antenna Designs using Material and Metallic Genetic Algorithm Optimization

D. Psychoudakis, S. Koulouridis, J. Volakis
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引用次数: 6

Abstract

This paper presents several antenna designs based on magneto-dielectric and metallic antenna optimization. This is done using genetic algorithms (GA) and various designs are considered for a set of dielectric, magnetic and metallic choices. The optimized final designs include very thin, single layer textured dielectric (~0.01 lambda) substrates for circular polarized (CP) conformal antennas with as much as 15% bandwidth (BW) and sizes of the order of 0.1 lambda to 0.3 lambda (always thin ~0.01 lambda) exhibit remarkable gain or bandwidth behavior. Multiple designs are presented demonstrating the easiness and originality of the present approach
基于材料和金属遗传算法优化的磁介质天线设计
本文介绍了几种基于磁介质天线和金属天线优化的天线设计方法。这是使用遗传算法(GA)完成的,并且考虑了一组介电,磁性和金属选择的各种设计。优化的最终设计包括用于圆极化(CP)共形天线的非常薄的单层纹理介电(~0.01 λ)衬底,带宽高达15% (BW),尺寸为0.1 λ至0.3 λ(总是薄~0.01 λ),具有显着的增益或带宽行为。提出了多个设计,展示了本方法的简单性和独创性
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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