IEICE Transactions on Information and Systems
Online ISSN : 1745-1361
Print ISSN : 0916-8532
Special Section on Multiple-Valued Logic and VLSI Computing
A ΔΣ-Modulation Feedforward Network for Non-Binary Analog-to-Digital Converters
Takao WAHOTomoaki KOIZUMIHitoshi HAYASHI
著者情報
ジャーナル フリー

2021 年 E104.D 巻 8 号 p. 1130-1137

詳細
抄録

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.

著者関連情報
© 2021 The Institute of Electronics, Information and Communication Engineers
前の記事 次の記事
feedback
Top