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作 者:闫轶著 丁帅[1] 韩旭[1] 王秉中[1] Yan Yi-Zhu;Ding Shuai;Han Xu;Wang Bing-Zhong(Institute of Applied Physics,University of Electronic Science and Technology of China,Chengdu 611731,China)
机构地区:[1]电子科技大学应用物理研究所,成都611731
出 处:《物理学报》2023年第16期94-102,共9页Acta Physica Sinica
基 金:中央高校基本科研业务费专项资金(批准号:A03019023801088,ZYGX2019Z016,ZYGX2021YGLH025);四川省科技支撑计划(批准号:2022YFS0193)资助的课题.
摘 要:在微波无线输能领域中,如何实现多目标点的电磁波可调控聚焦是一个值得关注的问题.本文提出了一种基于时间反演多径环境下的多目标电磁波聚焦的新方法.该方法基于多个输出之间的信道相关性,将输入和输出节点之间的信道信息进行提取、筛选、加权和重构后在单个发送端上重建反演信号,利用时间反演的空间选择特性实现均衡的电磁波聚焦.基于这种方法,设计了两组在多径环境下的实验.实验结果表明,通过这种方法可以使弱相关模型下不同输出端口获得均衡稳定的聚焦峰,在强相关模型下使不同输出端口的分辨效果进一步提升.此外,6个额外的实验验证了所提出的方法可以在弱相关或强相关的单输入多输出信道模型下,通过改变不同的权值灵活地调整不同接收端的输出峰值电压比.Achieving tunable focus of electromagnetic field energy at multiple target points is a critical challenge in the wireless power transfer(WPT)domain.In order to solve this problem,some techniques such as optimal constrained power focusing(OCPF)and time reversal(TR)have been proposed.The former presents limited practical applicability while the latter is noteworthy for its adaptive spatiotemporal synchronous focusing characteristics.However,the time reversal mirror(TRM)method necessitates intricate pretesting and has highly complex systems.In this study,we introduce a novel channel processing method,named channel extraction,selection,weighting,and reconstruction(CESWR),to attain balanced power distribution for multiple users,featuring low complexity,high computability,and rapid convergence.Unlike the traditional TR approach,our proposed method,based on channel correlation considerations,filters the channel impulse response(CIR)for multiple targets,dividing them into distinct characteristic and similar components for each target.This method ensures focused generation at both receiving ends while facilitating high-precision regulation of the peak voltage of the received signal.Furthermore,this study implements a rigorous examination of the linearity intrinsic to the proposed method,explicating a singular correspondence between the tuning of theoretical weights and the resultant outcomes.In order to verify the efficacy of this method,we construct a single-input multiple-output time-reversal cavity(SIMO-TRC)system.Subsequent experiments conducted for both loosely and tightly correlated models,provide invaluable insights.Evidently,in the loosely correlated model,the CESWR method exhibits proficiency in attaining a peak voltage ratio(PVR)of nearly 1.00 at the two receivers,with a minuscule numerical discrepancy of merely 8×10^(-6)mV.In stark contrast,under the tightly correlated model,the CESWR method demonstrates an enhanced ability to differentiate between two targets,thus offering a noticeable improvement over the cl
分 类 号:TM724[电气工程—电力系统及自动化]
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