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author:

Wei, Cong (Wei, Cong.) [1] | Wei, Rongshan (Wei, Rongshan.) [2] (Scholars:魏榕山) | Huang, Lijie (Huang, Lijie.) [3] | Huang, Gongxing (Huang, Gongxing.) [4] | Lai, Jinze (Lai, Jinze.) [5] | Tan, Zhichao (Tan, Zhichao.) [6]

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EI

Abstract:

Discrete-time delta-sigma modulators (DTDSM) have excellent energy efficiency in low bandwidth, high dynamic range, and high precision applications, making them ideal for battery-powered IoT sensor devices with bandwidths within the kHz range. They achieve high signal-to-noise ratio (SNR) and dynamic range (DR) primarily through higher-order loops, higher OSR, multi-bit quantizers, and multi-stage noise-shaping (MASH). However, higher-order loops can decrease the maximum stable amplitude (MSA), higher OSR increases system power consumption, multi-bit quantizers bring additional dynamic element matching (DEM) overhead, and MASH leads to noise leakage problems. Tri-level quantization schemes combine the advantages of single-bit and multi-bit approaches [1], making them more suitable for high-energy efficiency applications. SAR quantizers have gained popularity in low-bandwidth DTDSM designs in recent years [2-4]. This paper presents a third-order single-loop DTDSM based on an asynchronous 1.5-bit SAR quantizer, Tri-level feedback CDAC, and dynamic range enhancement (DRE) technique, eliminating the need for DEM overhead. With the assistance of DRE technology, the loop gain for small input amplitudes is enhanced. This allows the DTDSM to achieve 2.3 μW power consumption while achieving 94.7 dB DR and 92.2 dB SNDR at a 700 Hz bandwidth. As a result, the Schreier FoM for SNDR and DR is 177 dB and 179.5 dB, respectively. © 2023 IEEE.

Keyword:

Bandwidth Delta sigma modulation Electric power utilization Energy efficiency Modulators Signal to noise ratio

Community:

  • [ 1 ] [Wei, Cong]Fuzhou University, Fuzhou, China
  • [ 2 ] [Wei, Rongshan]Fuzhou University, Fuzhou, China
  • [ 3 ] [Huang, Lijie]Fuzhou University, Fuzhou, China
  • [ 4 ] [Huang, Gongxing]Fuzhou University, Fuzhou, China
  • [ 5 ] [Lai, Jinze]Fuzhou University, Fuzhou, China
  • [ 6 ] [Tan, Zhichao]Zhejiang University, Hangzhou, China

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Year: 2023

Language: English

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count: 2

ESI Highly Cited Papers on the List: 0 Unfold All

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30 Days PV: 6

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