用于图像传感器的模数转换器研究进展

Research Progress of Analog-to-Digital Converters for Image Sensors

随着物联网、移动设备等应用的发展,图像传感器作为信息感知重要的窗口,需求不断增长。模数转换器是图像传感器的重要组成部分,负责将探测到的模拟信号转换为数字信号,不仅增加了系统的抗干扰能力,提升了系统的性能,还有助于在片内实现数据处理,提高系统集成度。为了适应图像传感器朝着大阵列、高帧频、低功耗、小像素尺寸等方向的发展趋势,模数转换器在速度、功耗、面积等方面存在挑战。文章概述了应用于图像传感器的模数转换器的几种主要架构,分析了这几种架构的优缺点,总结了研究进展以及未来的发展方向。

With the development of applications such as the Internet of Things and mobile devices, the demand for image sensors, which is important for information perception, continues to grow. The analog-to-digital converter(ADC) is an important part of the image sensor, which is responsible for converting the detected analog signal into a digital signal. It not only increases the anti-interference ability and improves the performance of the system, but also enables data processing within the chip and improves the system integration. In order to adapt to the development trend of image sensors towards large arrays, high frame rates, low power consumption, and small pixel sizes, ADCs face challenges in terms of speed, power consumption, and area. Several main architectures of ADCs used in image sensors were reviewed in this paper, and the advantages and disadvantages of these architectures were analyzed. Research progress and future development directions were summarized.