无线电源传输
整流器(神经网络)
电气工程
反向
肖特基二极管
无线
班级(哲学)
拓扑(电路)
算法
计算机科学
二极管
工程类
电信
数学
组合数学
人工智能
几何学
循环神经网络
随机神经网络
人工神经网络
作者
Dang‐An Nguyen,Gia Thang Bui,Hyungseok Nam,Chulhun Seo
标识
DOI:10.1109/lmwc.2022.3217459
摘要
This letter presents a novel methodology for designing high-efficiency dual-band (DB) inverse class F (class $\text {F}^{-1}$ ) rectifier for wireless power transfer (WPT) and energy harvesting (EH). Specifically, a proposed DB class $\text {F}^{-1}$ harmonic termination network is employed based on transmission lines (TLINs) which are theoretically analyzed. The closed-form design formulas are derived for providing exact class $\text {F}^{-1}$ harmonic manipulation at two arbitrary frequency bands, enabling a highly efficient DB class $\text {F}^{-1}$ operation. For validation, a Schottky diode-based rectifier is implemented at two target frequencies of 1.9 and 2.45 GHz. The experimental results show that peak power conversion efficiency (PCE) can be achieved over 76% at 1.81 and 2.35 GHz with an input power of 13 dBm. Moreover, the rectifier exhibits a >50% PCE within a wide dynamic range (DR) of 19.5 and 17.5 dB at 1.81 and 2.35 GHz, respectively. To the author’s best knowledge, this is the first time a DB diode-based rectifier design with the deployment of a DB harmonic termination mechanism is incorporated with a DB fundamental matching network.
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