A Stochastic RMS Jitter Monitoring Circuit for Clock Generators using Central Limit Theorem

In this paper, we introduce a jitter monitoring circuit capable of measuring rms jitter of general clock generators with any jitter probability distribution. By employing the central limit theorem (CLT) to the measured jitter, a normal distribution can be achieved regardless of the original jitter distribution, and it allows the estimation of the rms jitter by using a simple pulse-width comparator, without the need for complex time-to-digital converters. The proposed jitter estimation scheme was verified in behavioral simulations, and the error in rms jitter accuracy was less than $\mathbf{1 0 \%}$ for more than $\mathbf{9 9. 5 \%}$ of the experimental trials when the number of samples exceeded 5000.

Authors

Institutions

Publication Details

Published
2024-11-07
DOI
https://doi.org/10.1109/apccas62602.2024.10808607
Primary Topic
Advancements in PLL and VCO Technologies
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A Stochastic RMS Jitter Monitoring Circuit for Clock Generators using Central Limit Theorem

Jeyeon Lee, A.A. Kim, Hyung‐Ho Park, SeongHwan Cho
Advancements in PLL and VCO Technologies
article

A Stochastic RMS Jitter Monitoring Circuit for Clock Generators using Central Limit Theorem

Jeyeon Lee, A.A. Kim, Hyung‐Ho Park, SeongHwan Cho
article en

Abstract

In this paper, we introduce a jitter monitoring circuit capable of measuring rms jitter of general clock generators with any jitter probability distribution. By employing the central limit theorem (CLT) to the measured jitter, a normal distribution can be achieved regardless of the original jitter distribution, and it allows the estimation of the rms jitter by using a simple pulse-width comparator, without the need for complex time-to-digital converters. The proposed jitter estimation scheme was verified in behavioral simulations, and the error in rms jitter accuracy was less than $\mathbf{1 0 \%}$ for more than $\mathbf{9 9. 5 \%}$ of the experimental trials when the number of samples exceeded 5000.

Korea Advanced Institute of Science and Technology (KR)
Affordable and clean energy
Openalex Percentile: Top 78%
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.