← 返回 JSSC 论文列表JSSC 2019第9期RF & WirelessEnergy HarvestingNeural Network Accelerator
Design of Sub-Gigahertz Reconfigurable RF Energy Harvester From 22 to 4 dBm With
设计了一种可重构的亚千兆赫兹射频能量收集器，工作范围从-22到4 dBm，具有高效率和自我启动功能。
-18.1-dBm sensitivity for 1-MΩ loading, 36% peak efficiency at 1 dBm, MPPT accuracy over 87%
射频能量收集最大功率点跟踪可重构整流器亚千兆赫兹物联网传感器
▸集成了爬山算法和最大功率点跟踪(MPPT)功能
▸提出了高精度的线性模型分析整流效率
▸使用片外匹配设计整流器，提高了端到端效率
Abstract
To overcome the low-efficiency and limited working
range of the existing RF energy harvesting (EH) systems for the
wireless Internet-of-Things (IoT) sensors, a novel reconfigurable
system is proposed with integrated hill-climbing, maximum
power point tracking (MPPT) function for wide input power from
−22 to 4 dBm. A conceptual linear model with high accuracy
is also proposed to analyze the rectifier efficiency for MPPT
operations. The rectifier with o ff-chip matching is designed
with a patch antenna