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Maximizing Temperature and Process Corner Performance of Operational Amplifiers with a Novel Self-Adjusting Biasing Technique

Title data

Mai, Timo ; Hagelauer, Amelie ; Weigel, Robert:
Maximizing Temperature and Process Corner Performance of Operational Amplifiers with a Novel Self-Adjusting Biasing Technique.
In: Austrochip Workshop on Microelectronics. - Graz, Austria , 2018 . - pp. 15-19
ISBN 978-1-5386-8200-5
DOI: https://doi.org/10.1109/Austrochip.2018.8520714

Abstract in another language

A novel self-adjusting biasing technique for current sources in CMOS operational amplifiers is presented. The method is deduced from the fundamental characteristics of a mosfet and a simple line of reasoning. Opamps using this technique can produce a more constant gain over process corners and temperature. This is especially important under large-signal conditions, when the output is near one of the supply rails or a large current needs to be driven. Therefore it reduces worst case distortion in a given Opamp circuit that uses feedback over temperature and process corners. It is also capable of driving low-V t -devices that typically exhibit less noise, increasing the achievable noise performance of the Opamp almost without additional current consumption. The method was implemented and simulated in tsmc 180 nm CMOS. Simulation results are presented that clearly show the increased performance compared to the state of the art.

Further data

Item Type: Article in a book
Refereed: Yes
Keywords: operational amplifier; gain boosting; adaptive biasing; monticelli; process variations
Institutions of the University: Faculties > Faculty of Engineering Science > Former Professors > Chair Communication Electronics - Univ.-Prof. Dr.-Ing. Amélie Marietta Hagelauer
Faculties
Faculties > Faculty of Engineering Science
Faculties > Faculty of Engineering Science > Chair Communication Electronics
Faculties > Faculty of Engineering Science > Former Professors
Result of work at the UBT: No
DDC Subjects: 600 Technology, medicine, applied sciences > 620 Engineering
Date Deposited: 18 Oct 2019 09:38
Last Modified: 14 Jul 2020 11:32
URI: https://eref.uni-bayreuth.de/id/eprint/52559