P
Patrick Reynaert
Researcher at Katholieke Universiteit Leuven
Publications - 275
Citations - 5385
Patrick Reynaert is an academic researcher from Katholieke Universiteit Leuven. The author has contributed to research in topics: CMOS & Amplifier. The author has an hindex of 35, co-authored 263 publications receiving 4393 citations. Previous affiliations of Patrick Reynaert include Catholic University of Leuven & University of California, Berkeley.
Papers
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A 1.75-GHz polar modulated CMOS RF power amplifier for GSM-EDGE
TL;DR: In this paper, a fully integrated linearized CMOS RF amplifier, integrated in a 0.18/spl mu/m CMOS process, is presented, which is optimized for the amplification of nonconstant envelope RF signals.
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A 60-GHz Dual-Mode Class AB Power Amplifier in 40-nm CMOS
Dixian Zhao,Patrick Reynaert +1 more
TL;DR: A 60-GHz dual-mode power amplifier is implemented in 40-nm bulk CMOS technology and a new transistor layout is proposed to minimize the device and interconnect parasitics while the neutralized amplifier stage is co-optimized with input transformer to improve the power gain and stability.
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A 5.8 GHz 1 V Linear Power Amplifier Using a Novel On-Chip Transformer Power Combiner in Standard 90 nm CMOS
TL;DR: A fully integrated 5.8 GHz Class AB linear power amplifier in a standard 90 nm CMOS process using thin oxide transistors utilizes a novel on-chip transformer power combining network to achieve maximum output power and low insertion loss over the bandwidth of interest.
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A Wideband Class-AB Power Amplifier With 29–57-GHz AM–PM Compensation in 0.9-V 28-nm Bulk CMOS
Marco Vigilante,Patrick Reynaert +1 more
TL;DR: A wideband amplitude to phase (AM–PM) compensated class-AB power amplifier (PA) suitable for highly integrated fifth-generation phased arrays is designed in 0.9-V 28-nm CMOS without RF ultra-thick top metal.
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Design Considerations for 60 GHz Transformer-Coupled CMOS Power Amplifiers
TL;DR: A distributed model of on-chip transformers has been developed that can predict the performance up to very high frequencies, is length scalable and uses only a few parameters, compared to a complete lumped model.