用于闪存激光雷达传感器的列共享直方图 TDC，具有像素到像素重合检测功能和紧凑型模拟计数器

IF 7.3 2区计算机科学 Q1 COMPUTER SCIENCE, INFORMATION SYSTEMS Science China Information Sciences Pub Date : 2024-07-10 DOI:10.1007/s11432-024-4079-x

Haoran Wu, Kaiming Nie, Jiangtao Xu, Qinglong Lin, Yingying Jiao

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引用次数: 0

摘要

本研究提出了一种列共享式 hTDC，具有像素到像素重合检测和紧凑型模拟脉冲计数器。列共享结构使 hTDC 无需占用像素中 ADC 和存储器的大量面积。由于采用了像素到像素重合检测，每个像素只需要一个 SPAD。模拟计数器的应用大大减少了计数器所占的面积。仿真结果表明，在高背景光条件下，所提出的 hTDC 既能有效减少像素面积，又能确保精度，因此适用于室外应用。

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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A column-shared histogramming TDC with pixel-to-pixel coincidence detection and compact analog counters for Flash LiDAR sensor

This study presents a column-shared hTDC with pixel-to-pixel coincidence detection and compact analog pulse counters. The column-shared architecture allows the hTDC to have no large area consumption caused by ADC and memories in pixels. Thanks to the pixel-to-pixel coincidence detection, only one SPAD is needed in each pixel. The application of the analog counter greatly reduces the area occupied by the counter. The simulation results show that the proposed hTDC can effectively reduce the pixel area while ensuring accuracy under high background light conditions, so it is suitable for outdoor applications.

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来源期刊

Science China Information Sciences COMPUTER SCIENCE, INFORMATION SYSTEMS-

CiteScore

12.60

自引率

5.70%

发文量

224

审稿时长

8.3 months

期刊介绍： Science China Information Sciences is a dedicated journal that showcases high-quality, original research across various domains of information sciences. It encompasses Computer Science & Technologies, Control Science & Engineering, Information & Communication Engineering, Microelectronics & Solid-State Electronics, and Quantum Information, providing a platform for the dissemination of significant contributions in these fields.