An 8-bit 1.5Gs/s subranging ADC with level-shift operation and calibration techniques

Chung Ming Yang, Tai Haur Kuo

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This work presents a high-speed low-power subranging analog-to-digital converter (ADC). The prototype achieves a subranging operation with a level-shift operation technique, which has a higher speed compared with the conventional subranging architecture. A background calibration is proposed to overcome the non-idealities from the level-shift circuit. With the above techniques, an 8-bit 1.5GS/s subranging ADC is implemented in 90nm CMOS technology and the active area occupies 0.192mm2. With the post-layout simulation, the ADC consumes 17mW at 1.5GS/s from a 1V supply and the signal-to-noise-and-distortion ratio (SNDR) is 45.6dB with Nyquist frequency input. The ADC has a Walden Figure-of-Merit (FOMW) of 72.8fJ/conv-step, which is comparable to prior state-of-the-art 8-bit high-speed ADCs. Furthermore, this ADC achieves the highest operation speed compared with the subranging ADCs.

Original languageEnglish
Title of host publicationProceedings - 2020 International Symposium on Computer, Consumer and Control, IS3C 2020
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages232-235
Number of pages4
ISBN (Electronic)9781728193625
DOIs
Publication statusPublished - 2020 Nov
Event2020 International Symposium on Computer, Consumer and Control, IS3C 2020 - Taichung, Taiwan
Duration: 2020 Nov 132020 Nov 16

Publication series

NameProceedings - 2020 International Symposium on Computer, Consumer and Control, IS3C 2020

Conference

Conference2020 International Symposium on Computer, Consumer and Control, IS3C 2020
Country/TerritoryTaiwan
CityTaichung
Period20-11-1320-11-16

All Science Journal Classification (ASJC) codes

  • Electrical and Electronic Engineering
  • Control and Optimization
  • Instrumentation
  • Atomic and Molecular Physics, and Optics
  • Computer Science Applications
  • Energy Engineering and Power Technology
  • Artificial Intelligence

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