Malik, BT orcid.org/0000-0003-2832-531X, Doychinov, V orcid.org/0000-0001-6730-0057, Zaidi, SAR orcid.org/0000-0003-1969-3727 et al. (4 more authors) (2020) Flexible Rectennas for Wireless Power Transfer to Wearable Sensors at 24 GHz. In: Proceedings of the 2019 Research, Invention, and Innovation Congress (RI2C 2019). 2019 Research, Invention, and Innovation Congress (RI2C 2019), 11-13 Dec 2019, Bangkok, Thailand. IEEE ISBN 978-1-7281-4101-5
Abstract
This paper presents the design and implementation of efficient & compact flexible rectennas (antenna + rectifier) for wireless power transfer to wearable IoT sensor nodes at 24 GHz. Two different rectifier configurations i.e. shunt and voltage doubler have been analyzed for performance comparison. Experimental results of complete rectenna have also been demonstrated for conformal surfaces. The proposed flexible rectifiers is fabricated through conventional PCB manufacturing method. Measured RF-DC conversion efficiency of 31% and DC voltage of up to 2.4 V is achieved for 20 dBm input power across an optimal load resistance of 300Ω at 24 GHz.
Metadata
Item Type: | Proceedings Paper |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2019, IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. |
Keywords: | Antenna Arrays, Millimeter-waves, Rectifiers, Rectennas, Wireless Power Transfer |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Electronic & Electrical Engineering (Leeds) > Pollard Institute (Leeds) The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Electronic & Electrical Engineering (Leeds) > Robotics, Autonomous Systems & Sensing (Leeds) The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Mechanical Engineering (Leeds) > Institute of Engineering Systems and Design (iESD) (Leeds) |
Funding Information: | Funder Grant number EPSRC (Engineering and Physical Sciences Research Council) EP/N010523/1 EPSRC (Engineering and Physical Sciences Research Council) EP/J021156/1 |
Depositing User: | Symplectic Publications |
Date Deposited: | 14 Oct 2019 11:02 |
Last Modified: | 08 Dec 2020 16:55 |
Status: | Published |
Publisher: | IEEE |
Identification Number: | 10.1109/RI2C48728.2019.8999964 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:152076 |