Design of Low RCS Vivaldi Antenna Based on Differential Evolution Algorithm

被引：0

作者：

Zhao, Ge ^{[1
]}

Pang, Zi-Yu ^{[1
]}

Ma, Xiao-Yu ^{[1
]}

Huang, Guan-Long ^{[1
]}

Zhao, Luyu ^{[2
]}

Liang, Jia-Jun ^{[3
]}

Sim, Chow-Yen-Desmond ^{[4
]}

机构：

[1] College of Electronics and Information Engineering, Shenzhen University, Shenzhen, Guangdong,518060, China

[2] National Key Laboratory of Antennas and Microwave Technology, Xidian University, Xian, Shaanxi,710071, China

[3] School of Physics and Telecommunication Engineering, Yulin Normal University, Yulin, China

[4] Department of Electrical Engineering, Feng Chia University, Taichung,40724, Taiwan

来源：

Applied Computational Electromagnetics Society Journal | 2020年 / 35卷 / 05期

关键词：

Radar cross section;

D O I：

暂无

中图分类号：

学科分类号：

摘要：

A novel method to reduce antenna radar cross section (RCS) is proposed in this paper. A wideband Vivaldi antenna is adopted for demonstration, the shape of which is optimized by the differential evolution algorithm (DEA) under Python and HFSS co-simulation environment. By utilizing this simple and efficient design approach, no additional structure is required for RCS reduction while other electromagnetic performance of the antenna can be well maintained. Results show that the designed Vivaldi antenna achieves a good RCS reduction from 4 GHz to 9 GHz, validating the possibility and feasibility of this method for further radar target application. © ACES

引用

页码：506 / 510

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Sim, Chow-Yen-Desmond
[J]. APPLIED COMPUTATIONAL ELECTROMAGNETICS SOCIETY JOURNAL, 2020, 35 (05): : 506 - 510
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