An incremental analog-to-digital converter with multi-step extended counting for sensor interfaces

Chia-Hung Chen, Yi Zhang, Tao He, Gabor C. Temes

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Scopus citations

Abstract

Integrated sensor interface circuits require power-efficient high-accuracy data converters. In many applications, the best choice is the incremental A/D converters (IADCs) incorporating extended counting. In this paper, we discuss the operation and design of single- and multi-stage IADCs. By using a direct-input feed-forward modulator, the IADC accumulates the residue voltage, and it is easy to implement a hybrid scheme of extended counting. Several hybrid schemes are reviewed and discussed. The energy efficiency c an be improved significantly by re-using the hardware to perform extended counting. A multi-step extended counting scheme is proposed for high-resolution power-efficient conversion. A design example with OSR=320 is described in this paper. By using multi-step extended counting, the SQNR performance is boosted to 108 dB, which is much better than that of a second-order IADC of the same OSR, 94 dB.

Original languageEnglish
Title of host publicationISCAS 2016 - IEEE International Symposium on Circuits and Systems
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages77-80
Number of pages4
ISBN (Electronic)9781479953400
DOIs
StatePublished - 29 Jul 2016
Event2016 IEEE International Symposium on Circuits and Systems, ISCAS 2016 - Montreal, Canada
Duration: 22 May 201625 May 2016

Publication series

NameProceedings - IEEE International Symposium on Circuits and Systems
Volume2016-July
ISSN (Print)0271-4310

Conference

Conference2016 IEEE International Symposium on Circuits and Systems, ISCAS 2016
Country/TerritoryCanada
CityMontreal
Period22/05/1625/05/16

Keywords

  • analog-to-digital converter (ADC)
  • delta sigma (ΔΣ)
  • extended-counting
  • incremental data converters
  • measurement and instrumentation
  • multi-stage noise shaping (MASH)
  • multi-step
  • sensor interface
  • time-domain analysis
  • two step

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