测试技术学报2026，Vol.40Issue(3)：308-316,9.DOI:10.62756/csjs.1671-7449.2026033
基于遗传算法的低RCS编码超表面
Genetic Algorithm-Based Low-RCS Coding Metasurface
摘要
Abstract
A genetic algorithm-based low radar cross section(RCS)coding metasurface was proposed.Firstly,4 kinds of artificial magnetic conductor(AMC)unit cells satisfying the phase cancellation principle were designed and assembled into two composite AMC arrays.The genetic algorithm was employed to optimize the array arrangement,enhancing the metasurface's overall degrees of freedom while reducing design complexity and accelerating iterative convergence.The three-dimensional far-field radiation pattern of the metasurface demonstrates a multi-lobe scattering energy distribution with significant dispersion of the main lobe energy.Compared to traditional checkerboard configurations,the proposed structure exhibites markedly improved RCS reduction performance.Experimental results demonstrate that the optimized metasurface achieves over 10 dB RCS reduction across an ultrawide bandwidth of 12.8-36.8 GHz,corresponding to a relative bandwidth of 97%.Additionally,the metasurface maintaines stable RCS reduction under both X-and Y-polarized wave incidences,indicating polarization insensitivity.With its compact size,low profile,and excellent reduction performance,this metasurface serves as a promising candidate for stealth communication systems.关键词
人工磁导体/遗传算法/宽带雷达散射截面缩减/低剖面Key words
artificial magnetic conductor(AMC)/genetic algorithm/broadband radar cross section reduc-tion/low-profile分类
数理科学引用本文复制引用
孙瑜,杨茂,陈新伟,苏晋荣..基于遗传算法的低RCS编码超表面[J].测试技术学报,2026,40(3):308-316,9.基金项目
山西省基础研究计划资助项目(202203021211295) （202203021211295）
