摘要
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.
基金
supported by the Shanghai Municipal of Science and Technology Project under Grant No.20JC1419500
the Open Research Projects of Zhejiang Lab under Grant No.2021MC0AB06.
作者简介
Corresponding author:Liang-Jian Lyu was born in Jiangsu in 1990.He received the B.S.degree in physics from Nanjing University,Nanjing in 2010,the M.S.and Ph.D.degrees in microelectronics from Fudan University,Shanghai in 2013 and 2020,respectively.He is currently an associate professor with the School of Communication and Electronic Engineering,East China Normal University(ECNU),Shanghai.His research interests include analog and mixed-signal integrated circuit design for low-power biomedical applications and in situ smart systems.e-mail:ljlv@cee.ecnu.edu.cn;Qing-Zhen Wang was born in Henan in 1997.He received the B.E.degree in communication engineering from Nanyang Institute of Technology,Nanyang in 2019.He is currently pursuing his M.S.degree with the School of Communication and Electronic Engineering,ECNU.His research interest is analog integrated circuit design;Ze-Peng Huang was born in Zhejiang in 1998.He received the B.E.degree in automation from Zhejiang University City College,Hangzhou in 2020.He is currently pursuing his M.S.degree with the School of Communication and Electronic Engineering,ECNU.His research interest is wearable embedded systems for biomedical applications;Corresponding author:Xing Wu received her B.S.degree in electrical engineering from Xi’an Jiaotong University,Xi’an in 2008 and her Ph.D.degree from Nanyang Technological University,Singapore in 2012.Then,she worked at the Singapore University of Design and Technology,Singapore and Southeast University,Nanjing.She is currently a professor with ECNU.Her research interests include nanomaterials,nanotechnology,and in situ devices.e-mail:xwu@ee.ecnu.edu.cn。
