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Behavioral Modeling of A High-Resolution Sigma-Delta Analog-to-Digital Converter

  • Peng Huang
  • , Xichen Duan
  • , Jie Liang*
  • , Liuyang Zhang
  • *Corresponding author for this work
  • Shanghai University
  • Southern University of Science and Technology

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

Abstract

A 24-bit high-resolution sigma-delta analog-to-digital converter (ADC) with 4th-order, 3-bit quantization, and cascaded integrators feed-forward (CIFF) topology is presented in this paper. The ADC is simulated in Simulink with non-ideal factors such as clock jitter, thermal noise, op-amp noise, and non-ideal integrators are analyzed and modeled. The simulation shows that the signal-to-noise ratio (SNR) of the non-ideal model is 136.6 dB and the effective number of bits (ENOB) is 22.73 bits. The sigma-delta ADC satisfies the requirements of high-precision conversion in a variety of industrial measurement scenarios (such as detection and navigation, biosensing, etc.) and medical treatment.

Original languageEnglish
Title of host publication2023 3rd International Conference on Electronic Information Engineering and Computer Science, EIECS 2023
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages903-906
Number of pages4
ISBN (Electronic)9798350316674
DOIs
StatePublished - 2023
Externally publishedYes
Event3rd International Conference on Electronic Information Engineering and Computer Science, EIECS 2023 - Hybrid, Changchun, China
Duration: 22 Sep 202324 Sep 2023

Publication series

Name2023 3rd International Conference on Electronic Information Engineering and Computer Science, EIECS 2023

Conference

Conference3rd International Conference on Electronic Information Engineering and Computer Science, EIECS 2023
Country/TerritoryChina
CityHybrid, Changchun
Period22/09/2324/09/23

Keywords

  • ADC
  • high-resolution
  • modulator
  • noise shaping
  • oversampling

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