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Ultra-low-power energy harvesting using power-optimized waveforms

Published online by Cambridge University Press:  22 October 2015

Christopher R. Valenta Open the ORCID record for Christopher R. Valenta [Opens in a new window]  and
Gregory D. Durgin
Christopher R. Valenta*
Affiliation:
Electro-optical Systems Laboratory, Georgia Tech Research Institute, Atlanta, Georgia 30332, USA Department of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, Georgia 30332, USA
Gregory D. Durgin
Affiliation:
Department of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, Georgia 30332, USA
*
Corresponding author:C.R. Valenta Email: [email protected]
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Abstract

Power-optimized waveforms (POWs) are the enabling technology for realizing an internet-of-things (IoTs). An IoT will require billions or trillions of sensors, which must rely on passive, backscatter communication to facilitate the wireless transfer of information. Passive, backscatter sensors are uniquely suited for an IoT because of their ease of installation, low-cost, and lack of potentially toxic batteries. POW's primary benefit is that they can greatly improve the energy-harvesting efficiency of passive sensors, which increases their range and reliability. An overview of POWs is presented followed by measured results validated by a theoretical model and computer simulations. These measured results conducted at 5.8 GHz demonstrate the highest reported efficiency of a low-power, microwave energy-harvesting circuit of 26.3% at an input power of −10.2 dBm when using an excitation signal with a peak-to-average-power ratio of 12.

Keywords

RFIDMicrowave energy harvesterUltra-low power SensorsPower-optimized waveformsMulti-sine excitation
Type
Research Article
Information
Wireless Power Transfer , Volume 3 , Issue 1 , March 2016 , pp. 1 - 8
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Copyright
Copyright © Cambridge University Press 2015 

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References

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