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Dual-Polarized Communication Rectenna Array for Simultaneous Wireless Information and Power Transmission

Zhu, Ge-Liang, Du, Jin-Xin, Yang, Xue-Xia, Zhou, Yong-Gang, Gao, Steven (2019) Dual-Polarized Communication Rectenna Array for Simultaneous Wireless Information and Power Transmission. IEEE Access, 7 . pp. 141978-141986. ISSN 2169-3536. (doi:10.1109/ACCESS.2019.2943611) (KAR id:80234)

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https://doi.org/10.1109/ACCESS.2019.2943611

Abstract

A dual-polarized communication rectenna array with high isolation and low cross polarization for simultaneous wireless information and power transmission (SWIPT) is presented. It consists of a 2 × 2 element receiving antenna array and a high efficiency rectifier based on voltage doubler topology. The receiving element is corner-fed to achieve high isolation of more than 20 dB between the dual-polarized ports, which guarantees low mutual interference between the communication and the rectifying ports. To receive enough electromagnetic (EM) wave for rectifying and meanwhile meet the communication sensitivity, this 2 × 2 array uses its 2 × 2 vertical polarization ports and 1 × 2 horizontal polarization ports for power rectifying, and the rest 1 × 2 horizontal polarization ports for communication. For the communication port, the measured gain is 10.9 dBi and the cross polarization is less than -20 dB. The performance of the whole communication rectenna array has been measured, where a 2 × 4 circularly-polarized array with a gain of 17.5 dBi, settled 1 meter away is used as the transmitter. Measured results show that the system achieves a peak microwave - direct circuit (mw-dc) conversion efficiency of 74.9 % for the CW signal, and 67 % for the QPSK signal with 10 MHz channel bandwidth on the load of 345 Ω at 2.58 GHz operating frequency.

Item Type: Article
DOI/Identification number: 10.1109/ACCESS.2019.2943611
Uncontrolled keywords: Simultaneous wireless information and power transmission (SWIPT), rectenna array, rectifier, conversion efficiency
Divisions: Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Engineering and Digital Arts
Depositing User: Steven Gao
Date Deposited: 25 Feb 2020 16:52 UTC
Last Modified: 16 Feb 2021 14:11 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/80234 (The current URI for this page, for reference purposes)
Gao, Steven: https://orcid.org/0000-0002-7402-9223
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