Implementation of a FPGA-Based Time-to-Digital Converter Utilizing Opposite-Transition Propagation and Virtual Bin Method

We propose an FPGA-based Time-to-Digital Converter (TDC) that utilizes a Virtual Bin (VB) approach with opposite-transition (OT) inputs on two Tapped-Delay Lines (TDLs) to obtain less-correlated time bins. The VBs from the proposed OT TDC were obtained by comparing and segmenting the less-correlated bins collected from the two TDLs. The OT TDC was implemented on a 7-series FPGA (Xilinx) to verify performance. A conventional monotonic-transition (MT) TDC, which used identical transition inputs (0-to-1 or 1-to-0 transition) for the two TDLs, was also implemented as a control group. The results were compared with those from the MT TDC and other studies. The proposed method effectively improves time resolution and integral linearity while keeping resource usage low by exploiting these characteristics. The average bin size and RMS value were 5.5 and 4.2 ps, respectively. Moreover, the proposed method exhibits stable performance under temperature variations and implementation location changes. The VB OT TDC, which applies the VB method to the OT TDC, successfully measures detection time differences of two signals from two Cerenkov radiator integrated microchannel plate photomultiplier tubes (CRI-MCP-PMTs) with a high timing precision of sub-100 ps. The VB OT TDC can be used for next-generation applications that require fast-timing measurements.

Authors

Institutions

Publication Details

Journal
IEEE Transactions on Radiation and Plasma Medical Sciences
Published
2024-09-10
DOI
https://doi.org/10.1109/trpms.2024.3457618
Primary Topic
Advancements in PLL and VCO Technologies
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Implementation of a FPGA-Based Time-to-Digital Converter Utilizing Opposite-Transition Propagation and Virtual Bin Method

Sun Il Kwon, Dae‐Hee Lee
IEEE Transactions on Radiation and Plasma Medical Sciences
Advancements in PLL and VCO Technologies
article

Implementation of a FPGA-Based Time-to-Digital Converter Utilizing Opposite-Transition Propagation and Virtual Bin Method

Sun Il Kwon, Dae‐Hee Lee
article en

Abstract

We propose an FPGA-based Time-to-Digital Converter (TDC) that utilizes a Virtual Bin (VB) approach with opposite-transition (OT) inputs on two Tapped-Delay Lines (TDLs) to obtain less-correlated time bins. The VBs from the proposed OT TDC were obtained by comparing and segmenting the less-correlated bins collected from the two TDLs. The OT TDC was implemented on a 7-series FPGA (Xilinx) to verify performance. A conventional monotonic-transition (MT) TDC, which used identical transition inputs (0-to-1 or 1-to-0 transition) for the two TDLs, was also implemented as a control group. The results were compared with those from the MT TDC and other studies. The proposed method effectively improves time resolution and integral linearity while keeping resource usage low by exploiting these characteristics. The average bin size and RMS value were 5.5 and 4.2 ps, respectively. Moreover, the proposed method exhibits stable performance under temperature variations and implementation location changes. The VB OT TDC, which applies the VB method to the OT TDC, successfully measures detection time differences of two signals from two Cerenkov radiator integrated microchannel plate photomultiplier tubes (CRI-MCP-PMTs) with a high timing precision of sub-100 ps. The VB OT TDC can be used for next-generation applications that require fast-timing measurements.

IEEE Transactions on Radiation and Plasma Medical SciencesVol. 9(2)
University of California, Davis (US)
National Institutes of Health
Openalex Percentile: Top 87%
Advancements in PLL and VCO Technologies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.