Optimal transmit beamforming for near-field integrated sensing and wireless power transfer systems

Ping Sun;Haibo Dai;Baoyun Wang
{"title":"Optimal transmit beamforming for near-field integrated sensing and wireless power transfer systems","authors":"Ping Sun;Haibo Dai;Baoyun Wang","doi":"10.23919/ICN.2022.0028","DOIUrl":null,"url":null,"abstract":"The integrated sensing and wireless power transfer (ISWPT) technology, in which the radar sensing and wireless power transfer functionalities are implemented using the same hardware platform, has been recently proposed. In this paper, we consider a near-field ISWPT system where one hybrid transmitter deploys extremely large-scale antenna arrays, and multiple energy receivers are located in the near-field region of the transmitter. Under such a new scenario, we study radar sensing and wireless power transfer performance trade-offs by optimizing the transmit beamforming vectors. In particular, we consider the transmit beampattern matching and max-min beampattern gain design metrics. For each radar performance metric, we aim to achieve the best performance of radar sensing, while guaranteeing the requirement of wireless power transfer. The corresponding beamforming design problems are non-convex, and the semi-definite relaxation (SDR) approach is applied to solve them globally optimally. Finally, numerical results verify the effectiveness of our proposed solutions.","PeriodicalId":100681,"journal":{"name":"Intelligent and Converged Networks","volume":"3 4","pages":"378-386"},"PeriodicalIF":0.0000,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/iel7/9195266/10026509/10026518.pdf","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Intelligent and Converged Networks","FirstCategoryId":"1085","ListUrlMain":"https://ieeexplore.ieee.org/document/10026518/","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2

Abstract

The integrated sensing and wireless power transfer (ISWPT) technology, in which the radar sensing and wireless power transfer functionalities are implemented using the same hardware platform, has been recently proposed. In this paper, we consider a near-field ISWPT system where one hybrid transmitter deploys extremely large-scale antenna arrays, and multiple energy receivers are located in the near-field region of the transmitter. Under such a new scenario, we study radar sensing and wireless power transfer performance trade-offs by optimizing the transmit beamforming vectors. In particular, we consider the transmit beampattern matching and max-min beampattern gain design metrics. For each radar performance metric, we aim to achieve the best performance of radar sensing, while guaranteeing the requirement of wireless power transfer. The corresponding beamforming design problems are non-convex, and the semi-definite relaxation (SDR) approach is applied to solve them globally optimally. Finally, numerical results verify the effectiveness of our proposed solutions.
近场集成传感和无线电力传输系统的最佳发射波束成形
最近提出了集成传感和无线电力传输(ISWPT)技术,其中雷达传感和无线电力传输功能在同一硬件平台上实现。在本文中,我们考虑了一个近场ISWPT系统,其中一个混合发射机部署了超大规模的天线阵列,多个能量接收器位于发射机的近场区域。在这种新情况下,我们通过优化发射波束形成矢量来研究雷达传感和无线电力传输性能的权衡。我们特别考虑了发射波束方向图匹配和最大最小波束方向图增益设计指标。对于每个雷达性能指标,我们的目标是在保证无线电力传输要求的同时,实现雷达传感的最佳性能。相应的波束形成设计问题是非凸的,采用半定松弛(SDR)方法进行全局最优求解。最后,数值结果验证了所提方法的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
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
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
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 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信