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2024 | OriginalPaper | Chapter

Nonlinear Adaptive Biasing for Low-Voltage Class-AB OTAs

Authors : Gianluca Barile, Francesco Centurelli, Davide Colaiuda, Giuseppe Ferri, Pietro Monsurrò, Leonardo Pantoli, Vincenzo Stornelli, Pasquale Tommasino, Alessandro Trifiletti

Published in: Proceedings of SIE 2023

Publisher: Springer Nature Switzerland

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Abstract

An adaptive biasing circuit suitable for very low-voltage design of class-AB symmetrical transconductance operational amplifiers (OTAs) is presented. A non-linear current mirror is exploited to enhance the maximum tail current as a function of the input voltage, achieving a super class-AB behavior. Robustness to process and voltage supply variations and advantages of the proposed solution are demonstrated by designing a 0.6 V class-AB OTA with adaptive biasing in 0.13-μm CMOS technology, and evaluating its performance in unity-gain buffer configuration. The use of the proposed adaptive bias circuit provides a 20x slew-rate improvement with respect to the same OTA biased at constant current.

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Title: Nonlinear Adaptive Biasing for Low-Voltage Class-AB OTAs
Authors: Gianluca Barile
Francesco Centurelli
Davide Colaiuda
Giuseppe Ferri
Pietro Monsurrò
Leonardo Pantoli
Vincenzo Stornelli
Pasquale Tommasino
Alessandro Trifiletti
Publisher: Springer Nature Switzerland
Book: Proceedings of SIE 2023
Print ISBN: 978-3-031-48710-1

Electronic ISBN: 978-3-031-48711-8

Copyright Year: 2024
DOI: https://doi.org/10.1007/978-3-031-48711-8_4