← 返回 JSSC 论文列表JSSC 2021第7期RF & Wireless65nmEnergy HarvestingPhased Array
Dynamic Focusing of Large Arrays for Wireless Power Transfer and Beyond
提出动态聚焦大阵列电磁功率的架构、电路与算法,应用于无线能量传输等。
400元素阵列,65-nm CMOS,10 GHz
无线能量传输动态聚焦正交基CMOS射频集成电路
▸创新点1:动态3D聚焦算法 - 提出了一种自适应算法,能够在未知接收器位置的情况下实现电磁能量的动态聚焦,适用于辐射近场和远场区域。
▸创新点2:正交基相位控制 - 利用Hadamard和伪Hadamard矩阵构建正交和伪正交掩码,实现多元素相位的同步控制,提升动态范围和聚焦效率。
▸创新点3:无需工厂校准的能量聚焦 - 通过生成和恢复单元(GU和RU)的协作,实现快速可靠的能量聚焦,无需工厂校准,降低了系统部署成本。
▸创新点4:高性能无线能量传输 - 采用65-nm CMOS IC阵列,实现400元素的模块化WPT-AD系统,在1米以上距离传输超过2W的直流功率,并在10米以上距离动态投射能量。
Abstract
We present architectures, circuits, and algorithms for dynamic 3-D lensing and focusing of electromagnetic power in radiative near- and far-field regions by arrays that can be arbitrary and nonuniform. They can benefit applications such as wireless power transfer at a distance (WPT-AD), volumet- ric sensing and imaging, high-throughput communications, and optical phased arrays. Theoretical limits on system performance are calculated. An adaptive algorithm focuses the power at the receiver(s) without prior knowledge of its location(s). It uses orthogonal bases to change the phases of multiple elements simultaneously to enhance the dynamic range. One class of such 2-D orthogonal and pseudo-orthogonal masks is constructed using the Hadamard and pseudo-Hadamard matrices. Genera- tion and recovery units (GU and RU) work collaboratively to focus energy quickly and reliably with no need for factory cali- bration. Orthogonality enables batch processing in high-latency and low-rate communication settings. Secondary vector-based calculations allow instantaneous refocusing at different locations using element-wise calculations. An emulator enables further evaluation of the system. We demonstrate modular WPT-AD GUs of up to 400 elements utilizing arrays of 65-nm CMOS ICs to focus power on RUs that convert the RF power to dc. Each RFIC synthesizes 16 independently phase-controlled RF outputs around 10 GHz from a common single low-frequency reference. Detailed measurements demonstrate the fe