Wang Lin, Fang Debao, Jin Haibo, Li Jingbo
Opt Express. 2023 Nov 20;31(24):40270-40284. doi: 10.1364/OE.505139.
In this work, a novel Global NV-ETM RCWA method is proposed to accelerate the optimization of the periodic stepped radar absorbing structure. This method is based on the rigorous coupled-wave analysis (RCWA) utilizing the normal vector field (NV) and enhanced transmittance matrix (ETM) approach. The NV field dramatically improves the convergence rate for both dielectric and magnetic metasurfaces. The Global NV-ETM RCWA algorithm is developed to further accelerate the complete search calculations. Using the proposed method, the periodic stepped radar absorbing structures are efficiently optimized to realize the entire band absorption in 2-18 GHz. The optimization results demonstrate the Global NV-ETM RCWA method significantly increase the computational efficiency, with a 38-fold improvement over direct NV-ETM RCWA calculations when the truncation order N=3. This method provides a powerful tool for designing metasurface absorbers with various desired functionalities.
在这项工作中，提出了一种新颖的全局NV - ETM RCWA方法，以加速周期性阶梯状雷达吸波结构的优化。该方法基于利用法向矢量场（NV）和增强透射矩阵（ETM）方法的严格耦合波分析（RCWA）。NV场显著提高了介电和磁性超表面的收敛速度。开发了全局NV - ETM RCWA算法以进一步加速完整的搜索计算。使用所提出的方法，周期性阶梯状雷达吸波结构被有效地优化，以实现2 - 18 GHz的全频段吸收。优化结果表明，全局NV - ETM RCWA方法显著提高了计算效率，当截断阶数N = 3时，比直接的NV - ETM RCWA计算提高了38倍。该方法为设计具有各种所需功能的超表面吸收器提供了一个强大的工具。
