Phase Coding Framework of Digital Metamaterials Based on Convex Optimization
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.
|EI Accession Number|
Convex optimization ; Discrete event simulation ; Genetic algorithms
|ESI Classification Code|
Cited Times [WOS]:0
|Document Type||Conference paper|
|Department||Southern University of Science and Technology|
1.Harbin Institute of Technology,Harbin,150001,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.
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