An Efficient Co-Optimized Approach to Reduce Antenna RCS by Differential Evolution Algorithm
作者： Guan-Long Huang , Xiao-Yu Ma , Ge Zhao , Zi-Yu Pang , Bin Qian
DOI: 10.1109/ICMMT49418.2020.9386875
关键词:
摘要: An efficient approach to reduce antenna radar cross section (RCS) is proposed in this paper. A wideband Vivaldi adopted for demonstration, the shape of which reformed by differential evolution algorithm (DEA) under co-optimization Python and HFSS. By utilizing simple design approach, no additional structure required RCS reduction while other electromagnetic performance can be well maintained. Results show that designed achieves a good from 4 GHz 9 GHz, validating possibility feasibility method further target application.
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