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First-In-Last-Out Data Weighted Averaging Technique for Multi-Bit ΔΣ ADCs

  • Xing Wang
  • , Chaoyang Xing
  • , Yi Zhong
  • , Lu Jie
  • , Nan Sun*
  • *Corresponding author for this work
  • Tsinghua University

Research output: Contribution to journalArticlepeer-review

Abstract

Data weighted averaging (DWA) is a frequently used dynamic element matching (DEM) technique to shape the mismatch error in ΔΣ ADCs. However, DWA faces a weak noise-shaping capability issue and introduces harmonic distortion under small signal inputs. By contrast, 2nd-order DEM solves these problems but suffers from the high hardware complexity issue. To address these issues, this brief presents a first-in-last-out DWA (FILO-DWA) technique for multi-bit ΔΣ ADCs. This technique combines the merits of DWA and 2nd-order DEM. Compared with DWA, it introduces no harmonics and enhances the mismatch shaping ability. In contrast to the 2nd-order vector-quantizer-based (VQ-based) DEM scheme, it achieves more than 10 times hardware cost reduction with negligible shaping ability loss. This technique offers a feasible DWA alternative for high-accuracy ΔΣ ADC design.

Original languageEnglish
Pages (from-to)703-707
Number of pages5
JournalIEEE Transactions on Circuits and Systems II: Express Briefs
Volume72
Issue number5
DOIs
Publication statusPublished - 2025
Externally publishedYes

Keywords

  • Analog-to-digital converter (ADC)
  • digital-to-analog converter(DAC)
  • dynamic element matching (DEM)
  • partial sorter
  • vector quantizer (VQ)
  • ΔΣ modulator (DSM)

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