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On the Application of Data Weighted Averaging to Noise Shaping SAR ADCs

  • Microelectronic Circuits Centre Ireland
  • Centro de Investigacion y de Estudios Avanzados del Instituto Politécnico Nacional

Research output: Chapter in Book/Report/Conference proceedingsConference proceedingpeer-review

Abstract

The analysis and simulation of a novel approach to achieve Capacitive Digital-to-Analog Converter (CDAC) mismatch error shaping using the traditional Data Weighted Averaging (DWA) algorithm is presented. The approach includes dissociating the ADC/DAC processes when extracting the quantization error in a Noise Shaping Successive Approximation Register (NS SAR) architecture. The proposed idea is implemented and validated with behavioral simulations in Matlab®-Simulink® of a 10-bit 3rd order NS SAR ADC, showing a first-order mismatch error shaping in the presence of CDAC mismatch.

Original languageEnglish
Title of host publicationISCAS 2024 - IEEE International Symposium on Circuits and Systems
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9798350330991
DOIs
Publication statusPublished - 2024
Externally publishedYes
Event2024 IEEE International Symposium on Circuits and Systems, ISCAS 2024 - Singapore, Singapore
Duration: 19 May 202422 May 2024

Publication series

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

Conference

Conference2024 IEEE International Symposium on Circuits and Systems, ISCAS 2024
Country/TerritorySingapore
CitySingapore
Period19/05/2422/05/24

Keywords

  • Analog-to-Digital Converters
  • Data Weighted Averaging
  • Mismatch Shaping
  • Noise Shaping
  • SAR

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