Genetic Algorithm Optimization for Microstrip Patch Antenna Miniaturization

被引：39

作者：

Lamsalli, Mohammed ^{[1
]}

El Hamichi, Abdelouahab ^{[1
]}

Boussouis, Mohamed ^{[1
]}

Touhami, Naima A. ^{[1
]}

Elhamadi, Taj-Eddin ^{[1
]}

机构：

[1] Abdelmalek Essaadi Univ, Fac Sci, Informat Syst & Telecommun Lab, Tetouan, Morocco

来源：

PROGRESS IN ELECTROMAGNETICS RESEARCH LETTERS | 2016年 / 60卷

关键词：

D O I：

10.2528/PIERL16041907

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：

The miniaturization of the patch antenna has become an important issue in reducing the volume of entire communication system. This paper presents an improved method of size reduction of a microstrip antenna using the genetic algorithm. The shape of a typical rectangular patch is modified in order to reduce it resonance frequency keeping the physical volume of the antenna constant. Indeed, the initial patch is divided into 10x10 small uniform rectangles (Pixel), and the genetic algorithm searches, the optimal configuration for the desired goal. The resonance frequency of a micro-strip patch is shifted from 4.9GHz to 2.16 GHz and a rate of miniaturization is up to 82%. To validate the procedure, an antenna prototype has been fabricated and tested with an FR4 substrate. The measurements results were in good agreement with simulation ones.

引用

页码：113 / 120

页数：8

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