Malik, BT orcid.org/0000-0003-2832-531X, Doychinov, V orcid.org/0000-0001-6730-0057, Hayajneh, AM et al. (3 more authors) (2020) Wireless Power Transfer System for Battery-Less Sensor Nodes. IEEE Access, 8. pp. 95878-95887. ISSN 2169-3536
Abstract
For the first time, the design and implementation of a fully-integrated wireless information and power transfer system, operating at 24 GHz and enabling battery-less sensor nodes, is presented in this paper. The system consists of an RF power source, a receiver antenna array, a rectifier, and a battery-less sensor node which communicates via backscatter modulation at 868 MHz. The rectifier circuits use commercially available Schottky diodes to convert the RF power to DC with a measured efficiency of up to 35%, an improvement of ten percentage points compared with previously reported results. The rectifiers and the receive antenna arrays were jointly designed and optimised, thereby reducing the overall circuit size. The battery-less sensor transmitted data to a base station realised as a GNU Radio flow running on a bladeRF Software Defined Radio module. The whole system was tested in free-space in laboratory conditions and was capable of providing sufficient energy to the sensor node in order to enable operation and wireless communication at a distance of 0.15 metres.
Metadata
Item Type: | Article |
---|---|
Authors/Creators: |
|
Copyright, Publisher and Additional Information: | This item is protected by copyright. This is an open access article under the terms of the Creative Commons Attribution 4.0 License. |
Keywords: | Millimeter-wave engineering,Rectifiers,Wireless Power Transfer,Battery-less,Sensors; Schottky diodes,Radio frequency,Rectennas,Wireless power transfer,Robot sensing systems,Resistance,Antenna arrays |
Dates: |
|
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) |
Funding Information: | Funder Grant number EPSRC (Engineering and Physical Sciences Research Council) EP/N010523/1 EPSRC (Engineering and Physical Sciences Research Council) EP/S002146/1 |
Depositing User: | Symplectic Publications |
Date Deposited: | 27 May 2020 13:55 |
Last Modified: | 16 Nov 2020 22:04 |
Status: | Published |
Publisher: | IEEE |
Identification Number: | 10.1109/ACCESS.2020.2995783 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:160866 |