电子学报2023，Vol.51Issue(11)：3262-3270,9.DOI:10.12263/DZXB.20220519
基于粒子群结构寻优的电磁隐身微网格超表面
Electromagnetic Stealth Micro-Grid Metasurface Based on Particle Swarm Structure Optimization
摘要
Abstract
A new design method of metasurface's unit cell for getting preset reflection phase-frequency characteris-tics is proposed,in which the metal patch area of the cells are splitted into small grids,whose patches schemes are trained by particle swarm optimization(PSO)algorithm.This is an effective solution to resolve the problem in the design of unit cells'reflection phase of electromagnetic stealth metasurface,in which the metal patch area of a square unit cell is splitted into N×N grids(N is an even number,the free grids number n can be derived by N and full symmetric condition),and the code string of the free grids'patch is trained by PSO,until the expected reflection phase-frequency characteristics(includ-ing the reflection phase's accuracy at target frequency and the flatness of phase-frequency curve in the neighborhood fre-quency band)obtain from the planar periodic structure constructed by the optimal unit cells.Taken as examples,in the cen-timeter band and terahertz band,four unit cells with a reflection phase difference of about 90° are given by PSO,and the 1-bit and 2-bit metasurfaces are constructed with phase gradients of 90° and 180° respectively,whose-10 dB RCS reduc-tion effect near the target frequency are verified.It is verified that the unit cell with specific reflection phase can be de-signed automatically by this method,which is also universally applicable to different frequency bands,and the RCS reduc-tion effect on a specific frequency and the bandwidth with satisfied reduction effect can both be obtained.关键词
电磁隐身/超表面/反射相位/贴片单元/粒子群算法Key words
electromagnetic stealth/metasurface/reflection phase/patch elements/particle swarm optimization分类
信息技术与安全科学引用本文复制引用
涂建军,马丁..基于粒子群结构寻优的电磁隐身微网格超表面[J].电子学报,2023,51(11):3262-3270,9.基金项目
国家重点研发计划(No.2021YFA0715501)National Key Research and Development Program of China(No.2021YFA0715501) （No.2021YFA0715501）
