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.
Takao WAHO
Sophia University
Tomoaki KOIZUMI
Sophia University
Hitoshi HAYASHI
Sophia University
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Takao WAHO, Tomoaki KOIZUMI, Hitoshi HAYASHI, "A ΔΣ-Modulation Feedforward Network for Non-Binary Analog-to-Digital Converters" in IEICE TRANSACTIONS on Information,
vol. E104-D, no. 8, pp. 1130-1137, August 2021, doi: 10.1587/transinf.2020LOP0005.
Abstract: 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.
URL: https://global.ieice.org/en_transactions/information/10.1587/transinf.2020LOP0005/_p
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@ARTICLE{e104-d_8_1130,
author={Takao WAHO, Tomoaki KOIZUMI, Hitoshi HAYASHI, },
journal={IEICE TRANSACTIONS on Information},
title={A ΔΣ-Modulation Feedforward Network for Non-Binary Analog-to-Digital Converters},
year={2021},
volume={E104-D},
number={8},
pages={1130-1137},
abstract={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.},
keywords={},
doi={10.1587/transinf.2020LOP0005},
ISSN={1745-1361},
month={August},}
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TY - JOUR
TI - A ΔΣ-Modulation Feedforward Network for Non-Binary Analog-to-Digital Converters
T2 - IEICE TRANSACTIONS on Information
SP - 1130
EP - 1137
AU - Takao WAHO
AU - Tomoaki KOIZUMI
AU - Hitoshi HAYASHI
PY - 2021
DO - 10.1587/transinf.2020LOP0005
JO - IEICE TRANSACTIONS on Information
SN - 1745-1361
VL - E104-D
IS - 8
JA - IEICE TRANSACTIONS on Information
Y1 - August 2021
AB - 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.
ER -