An in situ digital background calibration algorithm for multi-channel R-βR ladder DACs

Liangjian Lyu; Qingzhen Wang; Zepeng Huang; Xing Wu

doi:10.1016/J.JNLEST.2022.100150

An in situ digital background calibration algorithm for multi-channel R-βR ladder DACs

Liangjian Lyu^*
, Qingzhen Wang
, Zepeng Huang
, Xing Wu^*

^*Corresponding author for this work

School of Communication and Electronic Engineering

East China Normal University

Research output: Contribution to journal › Article › peer-review

2 Scopus citations

Abstract

The R-2R resistor ladder is one of the best topologies for implementing compact-sized digital-toanalog converter (DAC) arrays in implantable neuro-stimulators. However, it has a limited resolution and considerable inter-channel variation due to component mismatches. To avoid losing analog information, we present sub-radix-2 DAC implemented by the R-βR resistor ladder in this paper. The digital successive approximation register (DSAR) algorithm corrects the transfer function of DACs based on their actual bit weights. Furthermore, a low-cost in situ adaptive bitweight calibration (ABC) algorithm drives the analog output error between two DACs to zero by adjusting their bit weights automatically. The simulation results show that the proposed algorithm can calibrate the non-linear transfer function of each DAC and the gain error among multiple channels in the background.

Original language	English
Article number	100150
Journal	Journal of Electronic Science and Technology
Volume	20
Issue number	1
DOIs	https://doi.org/10.1016/J.JNLEST.2022.100150
State	Published - 2022

Keywords

Digital calibration
Digital-to-analog converter
Gain error
In situ
Mismatch
Non-linearity
Resistor ladder

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10.1016/J.JNLEST.2022.100150

Cite this

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title = "An in situ digital background calibration algorithm for multi-channel R-βR ladder DACs",

abstract = "The R-2R resistor ladder is one of the best topologies for implementing compact-sized digital-toanalog converter (DAC) arrays in implantable neuro-stimulators. However, it has a limited resolution and considerable inter-channel variation due to component mismatches. To avoid losing analog information, we present sub-radix-2 DAC implemented by the R-βR resistor ladder in this paper. The digital successive approximation register (DSAR) algorithm corrects the transfer function of DACs based on their actual bit weights. Furthermore, a low-cost in situ adaptive bitweight calibration (ABC) algorithm drives the analog output error between two DACs to zero by adjusting their bit weights automatically. The simulation results show that the proposed algorithm can calibrate the non-linear transfer function of each DAC and the gain error among multiple channels in the background.",

keywords = "Digital calibration, Digital-to-analog converter, Gain error, In situ, Mismatch, Non-linearity, Resistor ladder",

author = "Liangjian Lyu and Qingzhen Wang and Zepeng Huang and Xing Wu",

note = "Publisher Copyright: {\textcopyright} 2022",

year = "2022",

doi = "10.1016/J.JNLEST.2022.100150",

language = "英语",

volume = "20",

journal = "Journal of Electronic Science and Technology",

issn = "1674-862X",

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TY - JOUR

T1 - An in situ digital background calibration algorithm for multi-channel R-βR ladder DACs

AU - Lyu, Liangjian

AU - Wang, Qingzhen

AU - Huang, Zepeng

AU - Wu, Xing

PY - 2022

Y1 - 2022

N2 - The R-2R resistor ladder is one of the best topologies for implementing compact-sized digital-toanalog converter (DAC) arrays in implantable neuro-stimulators. However, it has a limited resolution and considerable inter-channel variation due to component mismatches. To avoid losing analog information, we present sub-radix-2 DAC implemented by the R-βR resistor ladder in this paper. The digital successive approximation register (DSAR) algorithm corrects the transfer function of DACs based on their actual bit weights. Furthermore, a low-cost in situ adaptive bitweight calibration (ABC) algorithm drives the analog output error between two DACs to zero by adjusting their bit weights automatically. The simulation results show that the proposed algorithm can calibrate the non-linear transfer function of each DAC and the gain error among multiple channels in the background.

AB - The R-2R resistor ladder is one of the best topologies for implementing compact-sized digital-toanalog converter (DAC) arrays in implantable neuro-stimulators. However, it has a limited resolution and considerable inter-channel variation due to component mismatches. To avoid losing analog information, we present sub-radix-2 DAC implemented by the R-βR resistor ladder in this paper. The digital successive approximation register (DSAR) algorithm corrects the transfer function of DACs based on their actual bit weights. Furthermore, a low-cost in situ adaptive bitweight calibration (ABC) algorithm drives the analog output error between two DACs to zero by adjusting their bit weights automatically. The simulation results show that the proposed algorithm can calibrate the non-linear transfer function of each DAC and the gain error among multiple channels in the background.

KW - Digital calibration

KW - Digital-to-analog converter

KW - Gain error

KW - In situ

KW - Mismatch

KW - Non-linearity

KW - Resistor ladder

UR - https://www.scopus.com/pages/publications/85124773197

U2 - 10.1016/J.JNLEST.2022.100150

DO - 10.1016/J.JNLEST.2022.100150

M3 - 文章

AN - SCOPUS:85124773197

SN - 1674-862X

VL - 20

JO - Journal of Electronic Science and Technology

JF - Journal of Electronic Science and Technology

IS - 1

M1 - 100150

ER -

An in situ digital background calibration algorithm for multi-channel R-βR ladder DACs

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Keywords

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