Design of Dual-Band Inverse Class-F Rectifier for Wireless Power Transfer and Energy Harvesting
This letter presents a novel methodology for designing high-efficiency dual-band (DB) inverse class F (class <inline-formula> <tex-math notation="LaTeX">\text {F}^{-1} </tex-math></inline-formula>) rectifier for wireless power transfer (WPT) and energy harvesting (E...
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Published in | IEEE microwave and wireless technology letters (Print) Vol. 33; no. 3; pp. 355 - 358 |
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Main Authors | , , , |
Format | Journal Article |
Language | English |
Published |
IEEE
01.03.2023
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Subjects | |
Online Access | Get full text |
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Summary: | This letter presents a novel methodology for designing high-efficiency dual-band (DB) inverse class F (class <inline-formula> <tex-math notation="LaTeX">\text {F}^{-1} </tex-math></inline-formula>) rectifier for wireless power transfer (WPT) and energy harvesting (EH). Specifically, a proposed DB class <inline-formula> <tex-math notation="LaTeX">\text {F}^{-1} </tex-math></inline-formula> harmonic termination network is employed based on transmission lines (TLINs) which are theoretically analyzed. The closed-form design formulas are derived for providing exact class <inline-formula> <tex-math notation="LaTeX">\text {F}^{-1} </tex-math></inline-formula> harmonic manipulation at two arbitrary frequency bands, enabling a highly efficient DB class <inline-formula> <tex-math notation="LaTeX">\text {F}^{-1} </tex-math></inline-formula> operation. For validation, a Schottky diode-based rectifier is implemented at two target frequencies of 1.9 and 2.45 GHz. The experimental results show that peak power conversion efficiency (PCE) can be achieved over 76% at 1.81 and 2.35 GHz with an input power of 13 dBm. Moreover, the rectifier exhibits a >50% PCE within a wide dynamic range (DR) of 19.5 and 17.5 dB at 1.81 and 2.35 GHz, respectively. To the author's best knowledge, this is the first time a DB diode-based rectifier design with the deployment of a DB harmonic termination mechanism is incorporated with a DB fundamental matching network. |
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ISSN: | 2771-957X 2771-9588 |
DOI: | 10.1109/LMWC.2022.3217459 |