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RF energy harvesting systems: An overview and design issues
Author(s) -
Divakaran Sleebi K.,
Krishna Deepti Das
Publication year - 2019
Publication title -
international journal of rf and microwave computer‐aided engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.335
H-Index - 39
eISSN - 1099-047X
pISSN - 1096-4290
DOI - 10.1002/mmce.21633
Subject(s) - energy harvesting , radio frequency , bandwidth (computing) , computer science , rectifier (neural networks) , systems design , electronic engineering , rf power amplifier , electrical engineering , electronic circuit , telecommunications , power (physics) , engineering , amplifier , software engineering , physics , quantum mechanics , stochastic neural network , machine learning , recurrent neural network , artificial neural network
One of the main challenges in implementing sensor devices for internet of things (IoTs), is the means for the operating power supply. RF energy harvesting (RFEH) presents a promising solution as RF power is a suitable choice particularly for cases where solar harvesting is not feasible. However, in spite of RF communication system design being a well‐established, there are several challenges poised for the implementation of the RFEH systems especially for harvesting the ambient RF signals. The challenges can be widely categorized as the overall conversion efficiency, bandwidth, and form factor. In this article, an exhaustive survey on the different RFEH system that is reported is carried out and discussed. Important design issues are identified with insights drawn. First, we have presented the challenges in designing antennas for RFEH systems. This is followed by rectifier circuits and matching networks, and eventually a general frame work for designing of ambient RFEH systems is deduced.