A Design of Self-biased Cross Coupled Rectifier with Integrated Dual Threshold Voltage for RF Energy Harvesting Application
Author(s) -
Mark Eric C. Andam,
Charlene Mae P. Canja,
Mycel A. Capilayan
Publication year - 2017
Publication title -
procedia computer science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.334
H-Index - 76
ISSN - 1877-0509
DOI - 10.1016/j.procs.2017.05.405
Subject(s) - rectifier (neural networks) , usable , computer science , energy harvesting , voltage , energy (signal processing) , electrical engineering , radio frequency , power (physics) , multi band device , cmos , dual (grammatical number) , signal (programming language) , precision rectifier , electronic engineering , telecommunications , power factor , physics , antenna (radio) , engineering , quantum mechanics , machine learning , world wide web , recurrent neural network , artificial neural network , programming language , art , literature , stochastic neural network
RF signal is seemingly ubiquitous, these days. Majority of the devices that people are using today are continuously generating RF signals. Apparently, only a portion of these signals are being utilized and the greater part of it becomes wasted energy. However, these signals can be taken advantaged off. Scavenging techniques have raised to popularity because of its potential to convert ambient energy to usable electrical energy. It can be done by means of energy harvesting. Presented in this paper is a design of self-biased cross coupled rectifier that operates in Wi-Fi (2.4 GHz) frequency band which is suitable for Energy Harvesting Application. The design is implemented in 65nm CMOS Process Technology. It also introduces integrated dual threshold technique which further improved performance of the rectifier. At six (6) stages, the rectifier was able to extract 1.52 V usable DC voltage and attained a maximum power conversion efficiency (PCE) of 15.81%.
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