A DLL-TDC Circuit with Calibration Network

This paper introduces a DLL-TDC circuit with a calibration neural network to address the issue of uneven delay time distribution across each delay unit of the TDC. Following the integration of the DLL circuit into the TDC for the purpose of average calibration, this paper also proposes the construction of a neural network model which purpose of this is to calculate the accurate delay time of each delay unit. Furthermore, the neural network model can also replace the repetitive code density measurement work in order to complete bin-by-bin calibration. The neural network model has an accuracy rate of over $91 \%$.

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Publication Details

Published
2025-03-21
DOI
https://doi.org/10.1109/iscait64916.2025.11010287
Primary Topic
Analog and Mixed-Signal Circuit Design
Type
article
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A DLL-TDC Circuit with Calibration Network

Chenxu Wang, M. Xu, Liang Han, He Wen et al.
Analog and Mixed-Signal Circuit Design
article

A DLL-TDC Circuit with Calibration Network

Chenxu Wang, M. Xu, Liang Han, He Wen, Yuehong Gong, Min Luo
article en

Abstract

This paper introduces a DLL-TDC circuit with a calibration neural network to address the issue of uneven delay time distribution across each delay unit of the TDC. Following the integration of the DLL circuit into the TDC for the purpose of average calibration, this paper also proposes the construction of a neural network model which purpose of this is to calculate the accurate delay time of each delay unit. Furthermore, the neural network model can also replace the repetitive code density measurement work in order to complete bin-by-bin calibration. The neural network model has an accuracy rate of over $91 \%$.

Shandong Jiaotong University (CN)
Affordable and clean energy
Openalex Percentile: Top 88%
Analog and Mixed-Signal Circuit Design
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