An Efficient Co-Optimized Approach to Reduce Antenna RCS by Differential Evolution Algorithm

被引：0
|
作者：
Zhao, Ge [1 ]
Pang, Zi-Yu [1 ]
Ma, Xiao-Yu [1 ]
Huang, Guan-Long [1 ,2 ]
Qian, Bin [1 ]
机构：
[1] Shenzhen Univ, Coll Elect & Informat Engn, Shenzhen 518060, Guangdong, Peoples R China
[2] Peng Cheng Lab, Shenzhen 518052, Peoples R China
来源：
2020 INTERNATIONAL CONFERENCE ON MICROWAVE AND MILLIMETER WAVE TECHNOLOGY (ICMMT 2020 ONLINE) | 2020年
基金：
中国国家自然科学基金;
关键词：
VIVALDI ANTENNA; DESIGN;
D O I：
10.1109/ICMMT49418.2020.9386875
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：
An efficient approach 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 reformed by the differential evolution algorithm (DEA) under co-optimization of Python and HFSS. 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.
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页数：3
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