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Phase Noise Analysis of Time Transfer over White Rabbit-Network Based Optical Fibre Links.
Kandeepan, Sithamparanathan; Panja, Subhasis.
Afiliação
  • Neelam; School of Engineering, Royal Melbourne Institute of Technology (RMIT), Melbourne, VIC 3000, Australia.
  • Kandeepan S; CSIR-National Physical Laboratory, Dr. K. S. Krishnan Marg, New Delhi 110012, India.
  • Panja S; Academy of Scientific and Innovative Research (AcSIR), Ghaziabad 201002, Uttar Pradesh, India.
Sensors (Basel) ; 24(2)2024 Jan 08.
Article em En | MEDLINE | ID: mdl-38257474
ABSTRACT
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.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Sensors (Basel) Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Austrália

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Sensors (Basel) Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Austrália
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