整流器(神经网络)
高电子迁移率晶体管
偏压
电压
功率(物理)
电子工程
晶体管
电气工程
射频功率放大器
功率半导体器件
计算机科学
放大器
工程类
物理
CMOS芯片
人工神经网络
机器学习
随机神经网络
量子力学
循环神经网络
作者
Jinyao Zhang,Yi Huang,Jiafeng Zhou
出处
期刊:IEEE Transactions on Circuits and Systems Ii-express Briefs
[Institute of Electrical and Electronics Engineers]
日期:2023-09-13
卷期号:71 (2): 547-551
被引量:4
标识
DOI:10.1109/tcsii.2023.3313879
摘要
This brief focuses on a highly efficient rectifier based on a high-electron-mobility transistor (HEMT) with a wide dynamic range of input power. Due to the nonlinear characteristics of HEMT, the impedance mismatch at different input power levels is a major challenge in rectifier design. Herein, a variable voltage gate self-bias network is proposed. It can dynamically generate a DC voltage according to the input power level, and continuously provide the optimal bias for the HEMT, thereby improving the RF to DC conversion efficiency in a wide input power range. This design does not require any external sensing or dynamic control circuit. The power needed by the self-bias network is provided using a weak coupling structure placed at the input port, which couples a small amount of the received RF power to operate the self-bias network. It is demonstrated that the proposed rectifier can achieve a dynamic operating power range of 24 dB (from 1 to 25 dBm) for over 60% conversion efficiency, or 16 dB for over 70% conversion efficiency in the measurement.
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