All-Standard-Cell-Based Analog-to-Digital Architectures Well-Suited for Internet of Things Applications

Author:

Correia AnaORCID,Tavares Vítor GradeORCID,Barquinha PedroORCID,Goes JoãoORCID

Abstract

In this paper, the most suited analog-to-digital (A/D) converters (ADCs) for Internet of Things (IoT) applications are compared in terms of complexity, dynamic performance, and energy efficiency. Among them, an innovative hybrid topology, a digital–delta (Δ) modulator (ΔM) ADC employing noise shaping (NS), is proposed. To implement the active building blocks, several standard-cell-based synthesizable comparators and amplifiers are examined and compared in terms of their key performance parameters. The simulation results of a fully synthesizable Digital-ΔM with NS using passive and standard-cell-based circuitry show a peak of 72.5 dB in the signal-to-noise and distortion ratio (SNDR) for a 113 kHz input signal and 1 MHz bandwidth (BW). The estimated FoMWalden is close to 16.2 fJ/conv.-step.

Funder

FCT—Fundação para a Ciência e a Tecnologia

PEST

European Community’s H2020 program

Publisher

MDPI AG

Subject

Electrical and Electronic Engineering

Reference29 articles.

1. O’Riordan, N. (2017). Circuits and Systems for the Internet of Things: CAS4IoT, IEEE CAS, River Publishers.

2. Recent Advances in High-Resolution Hybrid Discrete-Time Noise-Shaping ADCs;Jiang;IEEE Open J. Solid-State Circuits Soc.,2021

3. A 90-MS/s 11-MHz-bandwidth 62-dB SNDR noise-shaping SAR ADC;Fredenburg;IEEE J. Solid-State Circuits,2012

4. Schreier, R., and Temes, G.C. (2005). Understanding Delta-Sigma Data Converters, IEEE Press.

5. Low-pass delta-delta-sigma ADC;Ren;IEEE Trans. Appl. Supercond.,2014

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