A Novel Metamaterial Design Using Genetic Algorithm for High Gain Energy Harvesting Antenna

被引：0
|
作者：
Lam Vu Tung [1 ]
Nam Ha-Van [1 ]
Seo, Chulhun [2 ]
机构：
[1] Soongsil Univ, Dept Informat & Telecommun Engn, Seoul, South Korea
[2] Soongsil Univ, Sch Elect Engn, Seoul, South Korea
来源：
2020 IEEE WIRELESS POWER TRANSFER CONFERENCE (WPTC) | 2020年
基金：
新加坡国家研究基金会;
关键词：
Energy harvesting; high gain antenna; genetic algorithm; zero-index metamaterial;
D O I：
10.1109/wptc48563.2020.9295587
中图分类号：
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号：
0807 ; 0820 ;
摘要：
In this paper, a new metamaterial prototype is designed using a Genetic algorithm (GA) method to improve the gain of the microstrip patch antenna. This metamaterial is Zero-Index Metamaterials (ZIMs), which consists of a 5 x 5 matrix with a dimension of 40 mm x 40 mm x 1.2 mm. The metamaterial is positioned above a prove-fed patch antenna with a resonating frequency of 5.8 GHz. Simulation results show that the gain enhancement of microstrip patch antenna is from 7.6 dBi to 11.4 dBi. The GA method presents a significant performance improvement of the antenna design and optimization.
引用
收藏
页码：123 / 126
页数：4
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