基于遗传算法的低RCS编码超表面OA

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.