Ga-based design of artificial magnetic ground planes (AMGS) utilizing frequency-selective surfaces for bandwidth enhancement of microstrip antennas

被引：10

作者：

Yeo, J ^{[1
]}

Ma, JF ^{[1
]}

Mittra, R ^{[1
]}

机构：

[1] Penn State Univ, Electromagnet & Commun Lab, University Pk, PA 16802 USA

来源：

MICROWAVE AND OPTICAL TECHNOLOGY LETTERS | 2005年 / 44卷 / 01期

关键词：

artificial magnetic ground plane (AMG); genetic algorithm (GA); frequency-selective surface (FSS); microstrip antennas;

D O I：

10.1002/mop.20532

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

In this paper, we present a novel approach to improving the bandwidth of microstrip antennas using,frequency-selective surfaces (FSSs) as an artificial magnetic ground plane (AMG). The micro-genetic algorithm (MGA) is employed to derive an optimal FSS element configuration that achieves the zero-phase condition,for the reflection coefficient of an artificial surface at the desired frequency band. Two AMG configurations for single- and tri-band applications are designed by using the MGA, and their performances are compared with those of PEC ground-plane cases after integrating the AMGs with microstrip antennas. It is demonstrated that the use of such a surface, in lieu of the conventional PEC ground plane, leads to (in improvement in the bandwidth of planar antennas that are placed above the surface. (C) 2004 Wiley Periodicals, Inc.

引用

页码：6 / 13

页数：8

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