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author:

Wei, C. (Wei, C..) [1] | Huang, L.-J. (Huang, L.-J..) [2] | Hu, W. (Hu, W..) [3] (Scholars:胡炜) | Wei, R.-S. (Wei, R.-S..) [4] (Scholars:魏榕山)

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Abstract:

This paper proposes a pseudo third-order discrete-time delta-sigma modulator to address the bottleneck of high resolution and low power consumption in Internet of Things (IoT) sensors. This architecture embeds a first-order passive noise-shaping SAR (Successive Approximation Register) quantizer into a conventional second-order delta-sigma modulator to achieve stronger noise-shaping capabilities. This allows the system to achieve higher peak SQNR (Signal-to-Quantizing Noise Ratio) at lower OSR (Over Sampling Ratio), effectively mitigating the design trade-off between system accuracy and power consumption, while reducing the use of active integrators. In response to the high power consumption of traditional active adders and the attenuation uncertainty of passive adders, this paper proposes a novel feedforward sum quantization circuit. It has the advantage of being insensitive to attenuation and reduces the driving pressure of the second stage active integrator, which further reduces the power consumption of the system. The proposed delta-sigma modulator is manufactured and tested using a 180 nm CMOS (Complementary Metal Oxide Semiconductor) process. At a power supply voltage of 1.4 V, the tested power consumption of the chip is 47.2 μW. With a bandwidth of 8 kHz, the DR (Dynamic Range), peak SNDR (Signal-to-Noise and Distortion Ratio), and SFDR (Spurious-Free Dynamic Range) of the modulator are 97.2 dB, 96.6 dB, and 114.4 dB, respectively. Therefore, figure-of-merit (FoM) Schreier and Walden for SNDR are 178.9 dB and 0.053 pJ/step. The pseudo third-order delta-sigma modulator proposed in this article achieves a good balance between power consumption and resolution, providing a good solution for low-power and high-resolution modulator design in the field of the IoTs. © 2024 Chinese Institute of Electronics. All rights reserved.

Keyword:

delta-sigma modulator high resolution internet of things low power

Community:

  • [ 1 ] [Wei C.]School of Physics and Information Engineering, Fuzhou University, Fujian, Fuzhou, 350108, China
  • [ 2 ] [Huang L.-J.]School of Physics and Information Engineering, Fuzhou University, Fujian, Fuzhou, 350108, China
  • [ 3 ] [Hu W.]School of Physics and Information Engineering, Fuzhou University, Fujian, Fuzhou, 350108, China
  • [ 4 ] [Wei R.-S.]School of Physics and Information Engineering, Fuzhou University, Fujian, Fuzhou, 350108, China

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Source :

Acta Electronica Sinica

ISSN: 0372-2112

Year: 2024

Issue: 6

Volume: 52

Page: 2123-2130

Cited Count:

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ESI Highly Cited Papers on the List: 0 Unfold All

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Chinese Cited Count:

30 Days PV: 0

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