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Broad Dual-Band Rectifier With Wide Input Power Ranges for Wireless Power Transfer and Energy Harvesting

Daju Lee, Juntaek Oh

2022IEEE Microwave and Wireless Components Letters40 citationsDOI

Abstract

This letter presents a broad dual-band rectifier with a wide input power range that employs a dual-band matched voltage doubler (DMVD). The DMVD is composed of a voltage doubler and <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$L$ </tex-math></inline-formula> -type matching networks connected with each diode; it transforms the input reactance of each diode independently over wide input power and broad dual-band ranges, thereby widening the dynamic input power range. The proposed rectifier was implemented with the dimensions of 40 mm <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$\times15$ </tex-math></inline-formula> mm. Measurements reveal that the power conversion efficiency (PCE) was maintained at over 50% in the wide input power ranges of 10.3–32 dBm and 13.5–31.5 dBm at 0.915 and 2.45 GHz, respectively. PCEs exceeding 50% were measured over frequency ranges of 0.3–1.1 GHz and 1.5–2.6 GHz.

Topics & Concepts

Multi-band deviceRectifier (neural networks)DiodeRectennaElectrical engineeringWireless power transferPower (physics)dBmRange (aeronautics)Matching (statistics)MathematicsTopology (electrical circuits)Electronic engineeringPhysicsVoltageComputer scienceEngineeringRectificationAmplifierAntenna (radio)CMOSQuantum mechanicsStatisticsArtificial neural networkAerospace engineeringRecurrent neural networkMachine learningStochastic neural networkEnergy Harvesting in Wireless NetworksWireless Power Transfer SystemsInnovative Energy Harvesting Technologies