Multi-criteria design methodology of a dielectric resonator antenna with jumping genes evolutionary algorithm

被引：6

作者：

Yeung, Sai-Ho ^{[1
]}

Ng, Hoi-Kuen ^{[1
]}

Man, Kim-Fung ^{[1
]}

机构：

[1] City Univ Hong Kong, Dept Elect Engn, Kowloon, Hong Kong, Peoples R China

来源：

AEU-INTERNATIONAL JOURNAL OF ELECTRONICS AND COMMUNICATIONS | 2008年 / 62卷 / 04期

关键词：

antenna design; evolutionary algorithm; optimization;

D O I：

10.1016/j.aeue.2007.04.007

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：

A novel evolutionary computing algorithm, jumping genes evolutionary algorithm (JGEA) is used for designing a dielectric resonator antenna with multiple parasitic strips. This scheme provides an effective methodology for the antenna design, searching for the necessary parameters to achieve the optimal performance. The obtained non-dominated solutions for the antenna configurations have been used to select and determine the appropriate impedance bandwidth and radiation pattern. In the LP DRA optimization, the impedance bandwidth of 21% has been achieved. In the CP DRA optimization, the antenna can be designed to achieve the operation frequency ranged from 3 to 4.2 GHz. The results show enhancement of impedance bandwidth and the CP operation frequency range comparing with the original designs. (C) 2007 Elsevier GmbH. All rights reserved.

引用

页码：266 / 276

页数：11

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