Phase Coding Framework of Digital Metamaterials Based on Convex Optimization

Zhen Zhang, Junwei Zhang, Junwei Wu, Q. Cheng, Q. Cheng
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Abstract

Accurate phase coding is a key to meet the demand of practical problems for digital metamaterials. In this work, we propose a novel phase coding method based on convex optimization for digital metamaterials. A general nonconvex problem of metamaterials beam synthesis is reformulated into a convex optimization problem. The quasi-Newton optimization method is used to obtain the solution of the convex optimization problem. Then a shortest-distance discretization method maps the obtained solution into a selectable phase. A digital metamaterials example is presented to demonstrate the performance of the proposed method in comparison with conventional genetic algorithm.
基于凸优化的数字超材料相位编码框架
准确的相位编码是满足数字超材料实际问题需求的关键。在这项工作中,我们提出了一种基于凸优化的数字超材料相位编码方法。将一般的非凸问题转化为一个凸优化问题。采用拟牛顿优化方法求解凸优化问题。然后用最短距离离散方法将得到的解映射到可选择的相位。以数字超材料为例,通过与传统遗传算法的比较,验证了该方法的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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