A Scalable and Low Data Loss Asynchronous Readout Circuit for SPAD Arrays

The data loss caused by photon event stacking in asynchronous readout has become an urgent problem to be solved. A scalable asynchronous readout circuit for SPAD arrays with column-shared TDC is proposed, which is based on the addresses and timestamps of SPAD pixels, without relying on arbiters. It is approximately assumed that there is the same time information of pixels when multiple pixels respond simultaneously to photon stacking. At the cost of increasing a small amount of data processing, theoretically achieving zero loss of valid data during readout process. And the design was simulated on FPGA to verify the correctness of the functionality.

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Publication Details

Published
2024-12-27
DOI
https://doi.org/10.1109/eiecc64539.2024.10929082
Primary Topic
Advanced Optical Sensing Technologies
Type
article
Field-Weighted Citation Impact
0.00

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article

A Scalable and Low Data Loss Asynchronous Readout Circuit for SPAD Arrays

Kai Qiao, Yu Chang, Jieying Wang, Fei Yin et al.
Advanced Optical Sensing Technologies
article

A Scalable and Low Data Loss Asynchronous Readout Circuit for SPAD Arrays

Kai Qiao, Yu Chang, Jieying Wang, Fei Yin, X. Zuo, Xing Wang, Linmeng Xu, T.F. Liu
article en

Abstract

The data loss caused by photon event stacking in asynchronous readout has become an urgent problem to be solved. A scalable asynchronous readout circuit for SPAD arrays with column-shared TDC is proposed, which is based on the addresses and timestamps of SPAD pixels, without relying on arbiters. It is approximately assumed that there is the same time information of pixels when multiple pixels respond simultaneously to photon stacking. At the cost of increasing a small amount of data processing, theoretically achieving zero loss of valid data during readout process. And the design was simulated on FPGA to verify the correctness of the functionality.

Xi'an Institute of Optics and Precision Mechanics (CN)
National Natural Science Foundation of China, Youth Innovation Promotion Association of the Chinese Academy of Sciences
Affordable and clean energy
Openalex Percentile: Top 78%
Advanced Optical Sensing Technologies
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