Phase Coding Framework of Digital Metamaterials Based on Convex Optimization

Zhang，Zhen1,2; Zhang，Junwei2,3; Wu，Junwei2,3; Cheng，Qiang2,3; Cheng，Qingsha S.4

10.1109/iWEM53379.2021.9790523

2021

IEEE International Workshop on Electromagnetics: Applications and Student Innovation Competition, iWEM 2021 - Proceedings

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.

Others

English

EI

20222612302647

Convex optimization ; Discrete event simulation ; Genetic algorithms

Materials Science:951

2-s2.0-85132965492

Scopus

1.Harbin Institute of Technology,Harbin,150001,China
2.Pazhou Lab,Guangzhou,510330,China
3.Southeast University,State Key Laboratory of Millimeter Waves,Nanjing,210096,China
4.SUSTech,University Key Laboratory of Advanced Wireless Communication of Guangdong,Shenzhen,518055,China

Zhang，Zhen,Zhang，Junwei,Wu，Junwei,et al. Phase Coding Framework of Digital Metamaterials Based on Convex Optimization[C],2021.