Please use this identifier to cite or link to this item: https://doi.org/10.1109/JSSC.2019.2949232
Title: An 8.2- μ W 0.14-mm2 16-Channel CDMA-Like Capacitance-to-Digital Converter
Authors: LUO YUXUAN 
LI YIDA 
THEAN VOON YEW, AARON 
HENG CHUN HUAT 
Keywords: Capacitance-to-digital converter (CDC), capacitive sensor array, electronic skin (e-skin), multi-channel sensor interface circuits, pressure sensors
Issue Date: 5-Nov-2019
Publisher: IEEE
Citation: LUO YUXUAN, LI YIDA, THEAN VOON YEW, AARON, HENG CHUN HUAT (2019-11-05). An 8.2- μ W 0.14-mm2 16-Channel CDMA-Like Capacitance-to-Digital Converter. IEEE Journal of Solid-State Circuits 55 (5) : 1361-1373. ScholarBank@NUS Repository. https://doi.org/10.1109/JSSC.2019.2949232
Rights: CC0 1.0 Universal
Abstract: This article presents a multi-channel capacitance-todigital converter (CDC) circuits using the continuous-time Walsh coding multiplexing. The proposed circuits modulate the input capacitive sensors with orthogonal codes, enable simultaneous read-in of 16 capacitive sensors, and provide the combined 16 digitized outputs in a single conversion. By correlating 16 successive digitized outputs with the corresponding orthogonal codes in post-processing, the 16 capacitive channels can then be demodulated separately. The proposed continuous-time Walsh coding modulation preserves temporal information with minimum circuitry duplication and bandwidth requirement. This chip is fabricated in 130-nm CMOS technology and occupies an area of 0.14 mm 2 . With a reference clock of 4 MHz, the proposed multi-channel CDC achieves 11.4 ENOB with an average conversion time of 482 μs. It consumes 0.51 μW/channel and achieves an FoM of 87 fJ/conversion step.
Source Title: IEEE Journal of Solid-State Circuits
URI: https://scholarbank.nus.edu.sg/handle/10635/192012
ISSN: 1558173X
DOI: 10.1109/JSSC.2019.2949232
Rights: CC0 1.0 Universal
Appears in Collections:Elements
Staff Publications

Show full item record
Files in This Item:
File Description SizeFormatAccess SettingsVersion 
An 8.2-μW.pdf7.67 MBAdobe PDF

OPEN

Post-printView/Download

Google ScholarTM

Check

Altmetric


This item is licensed under a Creative Commons License Creative Commons