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An Energy-Efficient SAR ADC With a Coarse-Fine Bypass Window Technique

Yi Shen, Jian Liu, Chenxi Han, Angyang Li, Shubin Liu, Ruixue Ding, Zhangming Zhu

2022IEEE Transactions on Circuits and Systems I Regular Papers16 citationsDOI

Abstract

This paper presents a coarse-fine bypass window technique to improve the energy efficiency of the successive approximation register (SAR) analog-to-digital converter (ADC) by skipping unnecessary conversion cycles when the input signal is within the bypass windows. It utilizes the time information of the MSB comparison to coarsely detect the input range without a dedicated timing budget. Based on the coarse detection results, the fine bypass window is configured by reusing the digital-to-analog converter (DAC) to accurately detect the input signal. Due to the presence of the coarse detection, the multi-window detection and its corresponding bypass operation are realized to maximize the effectiveness of the bypass window technique. In addition, the MSB-spilt switching scheme is proposed to reduce the DAC switch-back energy. A prototype 8-bit SAR ADC equipped with the proposed technique is fabricated in a 65-nm CMOS process. At a 350-MS/s sampling rate with a Nyquist input, the measured signal-to-noise-plus-distortion ratio (SNDR) and spurious-free dynamic ranges (SFDR) are 44.9 dB and 63.9 dB, respectively. At a supply voltage of 1.2 V, the ADC consumes power of 1.58 mW with the full-scale sinusoidal input signal. The ADC achieves an effective number of bits (ENOB) of 7.17 bit, resulting in a figure-of-merit (FoM) of 31.3 fJ/conversion-step. The ADC core occupies an active area of 0.0096 mm2.

Topics & Concepts

Effective number of bitsSpurious-free dynamic rangeSuccessive approximation ADCFigure of meritComputer scienceNyquist frequencyDynamic rangeElectronic engineeringComparatorVoltageSIGNAL (programming language)Energy (signal processing)CMOSElectrical engineeringEngineeringBandwidth (computing)PhysicsTelecommunicationsComputer visionProgramming languageQuantum mechanicsAnalog and Mixed-Signal Circuit DesignCCD and CMOS Imaging SensorsLow-power high-performance VLSI design
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