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

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

doi:10.1109/NEWCAS52662.2022.9842108

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

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

School of Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

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 language	Undefined/Unknown
Title of host publication	2022 20th IEEE Interregional NEWCAS Conference (NEWCAS)
Publisher	IEEE
Pages	470-474
Number of pages	5
ISBN (Electronic)	978-1-6654-0105-0
DOIs	https://doi.org/10.1109/NEWCAS52662.2022.9842108
Publication status	Published - 5 Aug 2022
Event	2022 20th Annual IEEE Northeast Workshop on Circuits and Systems - Quebec, Canada Duration: 19 Jun 2022 → 22 Jun 2022

Conference

Conference	2022 20th Annual IEEE Northeast Workshop on Circuits and Systems
Abbreviated title	NEWCAS 2022
Country/Territory	Canada
City	Quebec
Period	19/06/22 → 22/06/22

Access to Document

10.1109/NEWCAS52662.2022.9842108

FORTE: Functional Oxide Reconfigurable Technologies (FORTE): A Programme Grant
Prodromakis, T., Constandinou, T. G., Dudek, P., Koch, D. & Papavassiliou, C.
1/05/22 → 30/09/23
Project: Research

Cite this

@inproceedings{0981a38cb6ea4d2b914f79a0736cbea5,

title = "Memristor-assisted Background Calibration for Analog-to-Digital Converter",

abstract = "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{\textquoteright}s memristance1 in a feedback loop. The implemented circuit takes advantage of the memristor{\textquoteright}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.",

author = "Zhaoguang Si and Chaohan Wang and Adil Malik and Shiwei Wang and Themis Prodromakis and Christos Papavassiliou",

note = "Funding Information: This work was supported by FORTE, which is a UKRI Engineering and Physical Sciences Research Council Programme under Grant EP/R024642/1. Publisher Copyright: {\textcopyright} 2022 IEEE.; null ; Conference date: 19-06-2022 Through 22-06-2022",

year = "2022",

month = aug,

day = "5",

doi = "10.1109/NEWCAS52662.2022.9842108",

language = "Undefined/Unknown",

pages = "470--474",

booktitle = "2022 20th IEEE Interregional NEWCAS Conference (NEWCAS)",

publisher = "IEEE",

}

Si, Z, Wang, C, Malik, A, Wang, S , Prodromakis, T & Papavassiliou, C 2022, Memristor-assisted Background Calibration for Analog-to-Digital Converter. in 2022 20th IEEE Interregional NEWCAS Conference (NEWCAS). IEEE, pp. 470-474, 2022 20th Annual IEEE Northeast Workshop on Circuits and Systems, Quebec, Quebec, Canada, 19/06/22. https://doi.org/10.1109/NEWCAS52662.2022.9842108

TY - GEN

T1 - Memristor-assisted Background Calibration for Analog-to-Digital Converter

AU - Si, Zhaoguang

AU - Wang, Chaohan

AU - Malik, Adil

AU - Wang, Shiwei

AU - Prodromakis, Themis

AU - Papavassiliou, Christos

PY - 2022/8/5

Y1 - 2022/8/5

N2 - 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.

AB - 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.

U2 - 10.1109/NEWCAS52662.2022.9842108

DO - 10.1109/NEWCAS52662.2022.9842108

M3 - Conference contribution

SP - 470

EP - 474

BT - 2022 20th IEEE Interregional NEWCAS Conference (NEWCAS)

PB - IEEE

Y2 - 19 June 2022 through 22 June 2022

ER -

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

Abstract

Conference

Access to Document

Projects

FORTE: Functional Oxide Reconfigurable Technologies (FORTE): A Programme Grant

Cite this