A Low Power Digitizer Array With Adaptive Split Current Source for 3-D-Stacked 100 MP High Dynamic Range Imager

IF 4.3 2区 综合性期刊 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC
Youngwoo Lee;Seyeon Kim;Jinha Kim;Suhwan Kim;Jaehoon Jun
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Abstract

The increasing demand for high dynamic range (HDR), power efficiency, and high resolution has driven the adoption of single-exposure dual conversion gain (DCG) techniques. This article proposes an adaptive split current source to optimize power consumption in single-exposure DCG readouts. By splitting the comparator bias current, the power consumption of the digitizer array can be adaptively optimized based on the conversion gain (CG) of pixel in single-exposure DCG operation. Additional power-saving features including decision-feedback and auto-zeroing (AZ) power-down techniques are also implemented to further improve power efficiency. The proposed digitizer chip was fabricated in a 28 nm CMOS process, achieving a power consumption reduction of 44.5% in comparator. The integral nonlinearity (INL) was measured as +2.67/–2.34 LSB in high CG (HCG) and +2.95/–1.92 LSB in low CG (LCG). The input-referred random noise (RN) values of 2.17 LSB (HCG) and 2.41 LSB (LCG) were measured at an analog gain of 16, corresponding to $93~\mu \! {V}_{\text {rms}}$ and $103~\mu \! {V}_{\text {rms}}$ , respectively. The prototype chip shows a highly competitive figure of merit (FoM) of 2.41 mV $\cdot $ pJ/pixel/frame.
三维堆叠100mp高动态范围成像仪的低功耗自适应分流电流源数字化仪阵列
对高动态范围(HDR)、功率效率和高分辨率的需求不断增长,推动了单曝光双转换增益(DCG)技术的采用。本文提出了一种自适应分流电流源,以优化单曝光DCG读数的功耗。通过拆分比较器偏置电流,可以根据单曝光DCG工作中像素的转换增益自适应优化数字化仪阵列的功耗。还实现了其他节能功能,包括决策反馈和自动归零(AZ)断电技术,以进一步提高电源效率。所提出的数字化仪芯片采用28纳米CMOS工艺制造,相比之下功耗降低44.5%。积分非线性(INL)在高CG (HCG)组为+2.67/ -2.34 LSB,低CG (LCG)组为+2.95/ -1.92 LSB。输入参考随机噪声(RN)值为2.17 LSB (HCG)和2.41 LSB (LCG),模拟增益为16,相当于$93~\mu \!{V}_{\text {rms}}$和$103~\mu \!{V}_{\text {rms}}$。该原型芯片显示出2.41 mV $ $ cdot $ pJ/像素/帧的极具竞争力的优值(FoM)。
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来源期刊
IEEE Sensors Journal
IEEE Sensors Journal 工程技术-工程:电子与电气
CiteScore
7.70
自引率
14.00%
发文量
2058
审稿时长
5.2 months
期刊介绍: The fields of interest of the IEEE Sensors Journal are the theory, design , fabrication, manufacturing and applications of devices for sensing and transducing physical, chemical and biological phenomena, with emphasis on the electronics and physics aspect of sensors and integrated sensors-actuators. IEEE Sensors Journal deals with the following: -Sensor Phenomenology, Modelling, and Evaluation -Sensor Materials, Processing, and Fabrication -Chemical and Gas Sensors -Microfluidics and Biosensors -Optical Sensors -Physical Sensors: Temperature, Mechanical, Magnetic, and others -Acoustic and Ultrasonic Sensors -Sensor Packaging -Sensor Networks -Sensor Applications -Sensor Systems: Signals, Processing, and Interfaces -Actuators and Sensor Power Systems -Sensor Signal Processing for high precision and stability (amplification, filtering, linearization, modulation/demodulation) and under harsh conditions (EMC, radiation, humidity, temperature); energy consumption/harvesting -Sensor Data Processing (soft computing with sensor data, e.g., pattern recognition, machine learning, evolutionary computation; sensor data fusion, processing of wave e.g., electromagnetic and acoustic; and non-wave, e.g., chemical, gravity, particle, thermal, radiative and non-radiative sensor data, detection, estimation and classification based on sensor data) -Sensors in Industrial Practice
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