An Adaptive Photosensitivity Pixel for Synchronous Spiking Sensor

IF 1.6 3区 工程技术 Q3 ENGINEERING, ELECTRICAL & ELECTRONIC
Kaiming Nie, Zhao Yang, Xiaopei Shi, Yanghao He, Jiangtao Xu, Jing Gao
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引用次数: 0

Abstract

This paper introduces a novel spiking pixel based on the synchronous readout operation. This design achieves pixel adaptation sensitivity to light, effectively overcoming a fundamental challenge of conventional pixels. It is achieved by assessing the trigger interval, which is the number of frame periods required for two successive pulses in the pixel's output, and dynamically adjusting the reference voltage. Combined with this technique, this novel spiking pixel can enhance sensitivity under low illumination conditions; simultaneously, it seeks to reduce trigger frequency in high-light conditions. Analysis of the proposed pixel reveals that it extends dynamic range and reduce the impact of the average relative error, representing a notable improvement over existing traditional pixel designs. When the ratio between the two integration voltage ranges of the proposed pixel is 9, the dynamic range can be extended by 18.26 dB. With integration voltage ranges of 300 and 900 mV, the mean average relative error of the proposed pixel is 0.1261 under varying Process, Voltage, and Temperature conditions, demonstrating superior performance compared to the traditional pixels.

同步尖峰传感器的自适应光敏像素
介绍了一种基于同步读出操作的新型尖峰像素。该设计实现了像素对光的自适应灵敏度,有效地克服了传统像素的基本挑战。它是通过评估触发间隔来实现的,这是像素输出中两个连续脉冲所需的帧周期数,并动态调整参考电压。结合该技术,这种新型的尖峰像素可以提高低照度条件下的灵敏度;同时,它寻求在强光条件下降低触发频率。对该像素的分析表明,它扩展了动态范围,减少了平均相对误差的影响,比现有的传统像素设计有了显著的改进。当所提出像素的两个积分电压范围之比为9时,动态范围可延长18.26 dB。在集成电压范围为300 mV和900 mV的情况下,该像素在不同工艺、电压和温度条件下的平均相对误差为0.1261,与传统像素相比表现出优越的性能。
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来源期刊
International Journal of Circuit Theory and Applications
International Journal of Circuit Theory and Applications 工程技术-工程:电子与电气
CiteScore
3.60
自引率
34.80%
发文量
277
审稿时长
4.5 months
期刊介绍: The scope of the Journal comprises all aspects of the theory and design of analog and digital circuits together with the application of the ideas and techniques of circuit theory in other fields of science and engineering. Examples of the areas covered include: Fundamental Circuit Theory together with its mathematical and computational aspects; Circuit modeling of devices; Synthesis and design of filters and active circuits; Neural networks; Nonlinear and chaotic circuits; Signal processing and VLSI; Distributed, switched and digital circuits; Power electronics; Solid state devices. Contributions to CAD and simulation are welcome.
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