Phase Noise Analysis of Time Transfer over White Rabbit-Network Based Optical Fibre Links.

White Rabbit noise modelling optical fibres phase noise time transfer

Journal

Sensors (Basel, Switzerland)
ISSN: 1424-8220
Titre abrégé: Sensors (Basel)
Pays: Switzerland
ID NLM: 101204366

Informations de publication

Date de publication:
08 Jan 2024
Historique:
received: 17 10 2023
revised: 22 12 2023
accepted: 04 01 2024
medline: 23 1 2024
pubmed: 23 1 2024
entrez: 23 1 2024
Statut: epublish

Résumé

White Rabbit (WR) is an optical fibre-based time-frequency synchronization technology typically used in timekeeping laboratories for distributing time-frequency signals from a reference clock to distant locations. The accuracy of the received signals at the user end can be affected by random noise processes present in the WR network due to the internal electronic components of WR devices. In this paper, we investigate the presence of random noise processes in the WR network. We then study their statistical properties and model the distribution based on experimentally recorded measurements. According to our study, the probability density function (PDF) follows a Gaussian mixture model (GMM) with varying distribution parameters, and the correlation analysis indicates a strong correlation of the phase noise process over the temporal samples. Furthermore, the developed phase noise models have also been verified by comparing them against additional experimental data. Finally, we present the methodology to generate the phase noise process using computer simulations with the PDF and correlation models developed in this work to help algorithm developers and equipment manufacturers make use of our results.

Identifiants

pubmed: 38257474
pii: s24020381
doi: 10.3390/s24020381
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Subventions

Organisme : RMIT University
ID : PhD scholarship
Organisme : AcSIR
ID : PhD scholarship

Auteurs

School of Engineering, Royal Melbourne Institute of Technology (RMIT), Melbourne, VIC 3000, Australia.
CSIR-National Physical Laboratory, Dr. K. S. Krishnan Marg, New Delhi 110012, India.
Academy of Scientific and Innovative Research (AcSIR), Ghaziabad 201002, Uttar Pradesh, India.

Sithamparanathan Kandeepan (S)

School of Engineering, Royal Melbourne Institute of Technology (RMIT), Melbourne, VIC 3000, Australia.

Subhasis Panja (S)

CSIR-National Physical Laboratory, Dr. K. S. Krishnan Marg, New Delhi 110012, India.
Academy of Scientific and Innovative Research (AcSIR), Ghaziabad 201002, Uttar Pradesh, India.

Classifications MeSH