An Analytical Model of Dynamic Charge Transfer Process for CMOS Image Sensors

IF 4.3 2区综合性期刊 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC

IEEE Sensors Journal Pub Date : 2025-04-03 DOI:10.1109/JSEN.2025.3555631

Jing Gao;Chen Chen;Jinghua Ao;Tao Luo;Hong Yin

引用次数: 0

Abstract

An analytical model is proposed to accurately describe the dynamic charge transfer process between the pinned photodiode (PPD) and floating diffusion (FD) node in CMOS image sensors (CISs). Two charge motion mechanisms, including self-induced drift and thermionic emission, are discussed in the proposed model. The transient charge transfer behavior is analyzed in different exposure conditions. The parameters such as PPD capacitance, PPD potential, and potential barrier are involved in describing the charge transfer process. The model has been verified by TCAD simulation and the test devices were fabricated with a

$0.11\mu $

m CIS process. The proposed charge transfer model provides convenience for optimizing the charge transfer efficiency of CISs.

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CMOS图像传感器动态电荷传递过程的解析模型

为了准确描述CMOS图像传感器（CISs）中固定光电二极管（PPD）与浮动扩散（FD）节点之间的动态电荷转移过程，提出了一个解析模型。在该模型中讨论了两种电荷运动机制，包括自激漂移和热离子发射。分析了不同曝光条件下的瞬态电荷转移行为。描述电荷转移过程的参数包括PPD电容、PPD电位和势垒等。通过TCAD仿真对模型进行了验证，并采用0.11 μ m的CIS工艺制作了试验装置。所提出的电荷转移模型为优化CISs的电荷转移效率提供了便利。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

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