Memristor-assisted Background Calibration for Analog-to-Digital Converter

Zhaoguang Si, Chaohan Wang, Adil Malik, Shiwei Wang, Themis Prodromakis, Christos Papavassiliou

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract / Description of output

This paper proposes a memristor-assisted sign-based background calibration scheme for analog-to-digital converters (ADC). A R-2R digital-to-analog converter (DAC) was implemented with a memristor array and other peripheral circuits. The background calibration detects the error caused by DAC mismatch and corrects it by adjusting the memristor’s memristance1 in a feedback loop. The implemented circuit takes advantage of the memristor’s small area and multi-state switching property. Simulation results show the feasibility of using memristors to correct mismatch in high-resolution ADC design. The proposed system has been designed in a TSMC 180nm process. Memristors will be laid on the top of the chip via Metal 5 and Metal 6.
Original languageUndefined/Unknown
Title of host publication2022 20th IEEE Interregional NEWCAS Conference (NEWCAS)
PublisherIEEE
Pages470-474
Number of pages5
ISBN (Electronic)978-1-6654-0105-0
DOIs
Publication statusPublished - 5 Aug 2022
Event2022 20th Annual IEEE Northeast Workshop on Circuits and Systems - Quebec, Canada
Duration: 19 Jun 202222 Jun 2022

Conference

Conference2022 20th Annual IEEE Northeast Workshop on Circuits and Systems
Abbreviated titleNEWCAS 2022
Country/TerritoryCanada
CityQuebec
Period19/06/2222/06/22

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