基于凸优化的数字超材料相位编码框架

Zhen Zhang, Junwei Zhang, Junwei Wu, Q. Cheng, Q. Cheng
{"title":"基于凸优化的数字超材料相位编码框架","authors":"Zhen Zhang, Junwei Zhang, Junwei Wu, Q. Cheng, Q. Cheng","doi":"10.1109/iwem53379.2021.9790523","DOIUrl":null,"url":null,"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.","PeriodicalId":141204,"journal":{"name":"2021 IEEE International Workshop on Electromagnetics: Applications and Student Innovation Competition (iWEM)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-11-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Phase Coding Framework of Digital Metamaterials Based on Convex Optimization\",\"authors\":\"Zhen Zhang, Junwei Zhang, Junwei Wu, Q. Cheng, Q. Cheng\",\"doi\":\"10.1109/iwem53379.2021.9790523\",\"DOIUrl\":null,\"url\":null,\"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.\",\"PeriodicalId\":141204,\"journal\":{\"name\":\"2021 IEEE International Workshop on Electromagnetics: Applications and Student Innovation Competition (iWEM)\",\"volume\":\"13 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-11-28\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2021 IEEE International Workshop on Electromagnetics: Applications and Student Innovation Competition (iWEM)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/iwem53379.2021.9790523\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 IEEE International Workshop on Electromagnetics: Applications and Student Innovation Competition (iWEM)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/iwem53379.2021.9790523","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

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。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
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.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Design of Dual-Band Chireix Outphasing Power Amplifier Dual-Band and Dual Circular Polarization Microstrip Antennas for Portable RFID Readers A New Methodology to Build the ICEM-CE Model for Microcontroller Units Design of an Antennas with Broadband and Linearly Polarized Omni-directional Radiation Pattern A Miniaturized Circularly Polarized Antenna with Short Circuit Strip for RFID Reader
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1