Low-Complexity Adaptive Multisine Waveform Design for Wireless Power Transfer

Bruno Clerckx; Ekaterina Bayguzina

doi:10.1109/LAWP.2017.2706944

Low-Complexity Adaptive Multisine Waveform Design for Wireless Power Transfer

Bruno Clerckx, Ekaterina Bayguzina

School of Electrical Engineering

Research output: Contribution to journal › Article › peer-review

34 Citations (Scopus)

Abstract

Channel-adaptive waveforms for wireless power transfer significantly boost the dc power level at the rectifier output. However, the design of those waveforms is computationally complex and does not lend itself easily to practical implementation. We here propose a low-complexity channel-adaptive waveform design whose performance is very close to that of the optimal design. Performance evaluations confirm the advantages of the new design in various rectifier topologies, with gains in dc output power of 100% over conventional waveforms.

Original language	English
Article number	7932461
Pages (from-to)	2207-2210
Number of pages	4
Journal	IEEE Antennas and Wireless Propagation Letters
Volume	16
DOIs	https://doi.org/10.1109/LAWP.2017.2706944
Publication status	Published - 2017

Keywords

Rectenna
waveform
wireless power transfer (WPT)

ASJC Scopus subject areas

Electrical and Electronic Engineering

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title = "Low-Complexity Adaptive Multisine Waveform Design for Wireless Power Transfer",

abstract = "Channel-adaptive waveforms for wireless power transfer significantly boost the dc power level at the rectifier output. However, the design of those waveforms is computationally complex and does not lend itself easily to practical implementation. We here propose a low-complexity channel-adaptive waveform design whose performance is very close to that of the optimal design. Performance evaluations confirm the advantages of the new design in various rectifier topologies, with gains in dc output power of 100% over conventional waveforms.",

keywords = "Rectenna, waveform, wireless power transfer (WPT)",

author = "Bruno Clerckx and Ekaterina Bayguzina",

note = "Funding Information: Manuscript received April 18, 2017; revised May 9, 2017; accepted May 17, 2017. Date of publication May 23, 2017; date of current version August 7, 2017. This work was supported by the Engineering and Physical Sciences Research Council under Grant EP/K502856/1, Grant EP/L504786/1, and Grant EP/P003885/1. (Corresponding author: Bruno Clerckx.) The authors are with the Imperial College London, London SW7 2AZ, U.K. (e-mail: b.clerckx@imperial.ac.uk; ekaterina.bayguzina08@imperial.ac. uk).",

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