Residential College | false |
Status | 已發表Published |
A 310 nW 14.2-bit iterative-incremental ADC for wearable sensing systems | |
Tan-Tan Zhang1; Man-Kay Law1![]() ![]() ![]() | |
2018-02-15 | |
Conference Name | IEEE International Symposium on Circuits and Systems (ISCAS) |
Source Publication | Proceedings - IEEE International Symposium on Circuits and Systems
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Volume | 2017 |
Pages | 1-4 |
Conference Date | MAY 28-31, 2017 |
Conference Place | Baltimore, MD |
Abstract | This paper presents an energy-efficient ultra-low power incremental analog-to-digital converter (I-ADC) for wearable sensing systems. In order to improve the energy efficiency without sacrificing the conversion resolution and linearity, limited by the use of Nyquist quantizers as in traditional two-step I-ADCs, we propose an iterative I-ADC (II-ADC) that breaks this performance tradeoff by taking advantage of the two-step topology while iteratively reusing the same hardware for both the coarse/fine conversions. As a result, higher SQNR can be accomplished with the same number of conversion cycles, leading to improved energy efficiency. Chopping and dynamic element matching are utilized for low offset and high linearity. Fabricated in 0.18-μm standard CMOS, the proposed II-ADC occupies an active area of only 0.08 mm2. The chip prototype operating at 4 kHz achieves a SNDR of 87.2 dB over a 25 Hz bandwidth while consuming only 310 nW from a 1-V supply, corresponding to a Shreier and Walden Figure-of-Merit (FoM) of 330 fJ/conv.-step and 166.3 dB, respectively. |
Keyword | Chopping Dynamic Element Matching Energy Efficiency Incremental Adc Sensor Interface Two-step Ultra-low-power Vearable Sensing System |
DOI | 10.1109/ISCAS.2017.8050268 |
URL | View the original |
Indexed By | CPCI-S |
WOS Research Area | Engineering |
WOS Subject | Engineering, Electrical & Electronic |
WOS ID | WOS:000439261800001 |
Scopus ID | 2-s2.0-85043402016 |
Fulltext Access | |
Citation statistics | |
Document Type | Conference paper |
Collection | INSTITUTE OF MICROELECTRONICS Faculty of Science and Technology DEPARTMENT OF ELECTRICAL AND COMPUTER ENGINEERING |
Affiliation | 1.Universidade de Macau 2.Hamad Bin Khalifa University, College of Science and Engineering |
First Author Affilication | University of Macau |
Recommended Citation GB/T 7714 | Tan-Tan Zhang,Man-Kay Law,Bo Wang,et al. A 310 nW 14.2-bit iterative-incremental ADC for wearable sensing systems[C], 2018, 1-4. |
APA | Tan-Tan Zhang., Man-Kay Law., Bo Wang., Pui-In Mak., Mang-I Vai., & Rui P. Martins (2018). A 310 nW 14.2-bit iterative-incremental ADC for wearable sensing systems. Proceedings - IEEE International Symposium on Circuits and Systems, 2017, 1-4. |
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