Open AccessSimple Adaptive Rectifier with High Efficiency over a Range of 21 dBm Input Power for RF Energy Harvesting Applications
Author(s) -
Eman M. Abdelhady,
Hala M. Abdel-Kader,
Amr A. Al-Awamry
Publication year - 2021
Publication title -
international journal of electrical and electronic engineering and telecommunications
Language(s) - English
Resource type - Journals
ISSN - 2319-2518
DOI - 10.18178/ijeetc.10.1.8-15
Subject(s) - rectenna , rectifier (neural networks) , dbm , power (physics) , rf power amplifier , electrical engineering , radio frequency , voltage , diode , energy conversion efficiency , electronic engineering , energy harvesting , computer science , engineering , rectification , physics , cmos , amplifier , stochastic neural network , quantum mechanics , machine learning , recurrent neural network , artificial neural network
This paper presents a novel simple adaptive and efficient rectifier for Radio Frequency (RF) energy harvesting applications. Traditional rectifiers have maximum RF-DC Power Conversion Efficiency (PCE) over a narrow range of RF input power due to diode breakdown voltage restrictions. The proposed adaptive design helps to extend the PCE over a wider range of RF input power at 2.45GHz using a simple design. Two alternative paths arecontrolled depending on the RF input power level. Low input power levels activate the first path connected to a single rectifier; low power levels make the diode operate below its breakdown voltage and therefore avoiding PCE degradation. High input power levels activate the second path dividing it into three rectifiers. This keeps input power at each rectifier at a low power level to avoid exceeding the diode break down voltage. Simulated PCE of this work is kept above 50% over a range of 21.4 dBm input power from -0.8dBm to 20.6dBm.