The search functionality is under construction.

IEICE TRANSACTIONS on Information

A ΔΣ-Modulation Feedforward Network for Non-Binary Analog-to-Digital Converters

Takao WAHO, Tomoaki KOIZUMI, Hitoshi HAYASHI

  • Full Text Views

    0

  • Cite this

Summary :

A feedforward (FF) network using ΔΣ modulators is investigated to implement a non-binary analog-to-digital (A/D) converter. Weighting coefficients in the network are determined to suppress the generation of quantization noise. A moving average is adopted to prevent the analog signal amplitude from increasing beyond the allowable input range of the modulators. The noise transfer function is derived and used to estimate the signal-to-noise ratio (SNR). The FF network output is a non-uniformly distributed multi-level signal, which results in a better SNR than a uniformly distributed one. Also, the effect of the characteristic mismatch in analog components on the SNR is analyzed. Our behavioral simulations show that the SNR is improved by more than 30 dB, or equivalently a bit resolution of 5 bits, compared with a conventional first-order ΔΣ modulator.

Publication
IEICE TRANSACTIONS on Information Vol.E104-D No.8 pp.1130-1137
Publication Date
2021/08/01
Publicized
2021/05/24
Online ISSN
1745-1361
DOI
10.1587/transinf.2020LOP0005
Type of Manuscript
Special Section PAPER (Special Section on Multiple-Valued Logic and VLSI Computing)
Category
Circuit Technologies

Authors

Takao WAHO
  Sophia University
Tomoaki KOIZUMI
  Sophia University
Hitoshi HAYASHI
  Sophia University

Keyword