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

Q1 Engineering Journal of Electronic Science and Technology Pub Date : 2022-03-01 DOI:10.1016/j.jnlest.2022.100150

Liangjian Lyu, Qingzhen Wang, Zepeng Huang, Xing Wu

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引用次数: 1

Abstract

The R-2R resistor ladder is one of the best topologies for implementing compact-sized digital-to-analog 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 bit-weight 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.

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一种多通道R-βR梯形dac的原位数字背景标定算法

R-2R电阻阶梯是在植入式神经刺激器中实现紧凑型数模转换器(DAC)阵列的最佳拓扑之一。然而，由于组件不匹配，它具有有限的分辨率和相当大的通道间变化。为了避免模拟信息的丢失，本文提出了一种由R-βR电阻阶梯实现的亚基-2 DAC。数字逐次逼近寄存器(DSAR)算法根据dac的实际位权对其传递函数进行校正。此外，一种低成本的原位自适应位权校准(ABC)算法通过自动调整两个dac的位权来驱动它们之间的模拟输出误差为零。仿真结果表明，该算法能够在后台标定各DAC的非线性传递函数和多通道间的增益误差。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Journal of Electronic Science and Technology Engineering-Electrical and Electronic Engineering

CiteScore

4.30

自引率

0.00%

发文量

1362

审稿时长

99 days

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