Statistics for Intensity of Rayleigh Backscattering Based Coherent Distributed Measurement System

Yan Ren; Weilin Xie; Zhongwei Tan; Wei Wei; Yi Dong

doi:10.1109/ACP/POEM59049.2023.10369537

Statistics for Intensity of Rayleigh Backscattering Based Coherent Distributed Measurement System

Yan Ren, Weilin Xie^*, Zhongwei Tan, Wei Wei, Yi Dong

^*Corresponding author for this work

School of Optics and Photonics

Beijing Institute of Technology

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

In this work, a method based on a modified analytical model for the calculation of the statistics of intensity of Rayleigh backscattering of non-ideal light source is presented. Analytical deductions are used to derive the probability density function (PDF). With proper numerical verifications, the results have exhibited the evolution of the PDF in different system states. Moreover, the significance and the potential application of the proposed model are drawn effectively.

Original language	English
Title of host publication	2023 Asia Communications and Photonics Conference/2023 International Photonics and Optoelectronics Meetings, ACP/POEM 2023
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9798350312614
DOIs	https://doi.org/10.1109/ACP/POEM59049.2023.10369537
Publication status	Published - 2023
Event	2023 Asia Communications and Photonics Conference/2023 International Photonics and Optoelectronics Meetings, ACP/POEM 2023 - Wuhan, China Duration: 4 Nov 2023 → 7 Nov 2023

Publication series

Name	2023 Asia Communications and Photonics Conference/2023 International Photonics and Optoelectronics Meetings, ACP/POEM 2023

Conference

Conference	2023 Asia Communications and Photonics Conference/2023 International Photonics and Optoelectronics Meetings, ACP/POEM 2023
Country/Territory	China
City	Wuhan
Period	4/11/23 → 7/11/23

Keywords

Distributed fiber-optic sensing
Rayleigh backscattering
laser phase noise

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10.1109/ACP/POEM59049.2023.10369537

Cite this

Ren, Y., Xie, W., Tan, Z., Wei, W., & Dong, Y. (2023). Statistics for Intensity of Rayleigh Backscattering Based Coherent Distributed Measurement System. In 2023 Asia Communications and Photonics Conference/2023 International Photonics and Optoelectronics Meetings, ACP/POEM 2023 (2023 Asia Communications and Photonics Conference/2023 International Photonics and Optoelectronics Meetings, ACP/POEM 2023). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ACP/POEM59049.2023.10369537

Ren, Yan ; Xie, Weilin ; Tan, Zhongwei et al. / Statistics for Intensity of Rayleigh Backscattering Based Coherent Distributed Measurement System. 2023 Asia Communications and Photonics Conference/2023 International Photonics and Optoelectronics Meetings, ACP/POEM 2023. Institute of Electrical and Electronics Engineers Inc., 2023. (2023 Asia Communications and Photonics Conference/2023 International Photonics and Optoelectronics Meetings, ACP/POEM 2023).

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title = "Statistics for Intensity of Rayleigh Backscattering Based Coherent Distributed Measurement System",

abstract = "In this work, a method based on a modified analytical model for the calculation of the statistics of intensity of Rayleigh backscattering of non-ideal light source is presented. Analytical deductions are used to derive the probability density function (PDF). With proper numerical verifications, the results have exhibited the evolution of the PDF in different system states. Moreover, the significance and the potential application of the proposed model are drawn effectively.",

keywords = "Distributed fiber-optic sensing, Rayleigh backscattering, laser phase noise",

author = "Yan Ren and Weilin Xie and Zhongwei Tan and Wei Wei and Yi Dong",

note = "Publisher Copyright: {\textcopyright} 2023 IEEE.; 2023 Asia Communications and Photonics Conference/2023 International Photonics and Optoelectronics Meetings, ACP/POEM 2023 ; Conference date: 04-11-2023 Through 07-11-2023",

year = "2023",

doi = "10.1109/ACP/POEM59049.2023.10369537",

language = "English",

series = "2023 Asia Communications and Photonics Conference/2023 International Photonics and Optoelectronics Meetings, ACP/POEM 2023",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

booktitle = "2023 Asia Communications and Photonics Conference/2023 International Photonics and Optoelectronics Meetings, ACP/POEM 2023",

address = "United States",

}

Ren, Y, Xie, W, Tan, Z, Wei, W & Dong, Y 2023, Statistics for Intensity of Rayleigh Backscattering Based Coherent Distributed Measurement System. in 2023 Asia Communications and Photonics Conference/2023 International Photonics and Optoelectronics Meetings, ACP/POEM 2023. 2023 Asia Communications and Photonics Conference/2023 International Photonics and Optoelectronics Meetings, ACP/POEM 2023, Institute of Electrical and Electronics Engineers Inc., 2023 Asia Communications and Photonics Conference/2023 International Photonics and Optoelectronics Meetings, ACP/POEM 2023, Wuhan, China, 4/11/23. https://doi.org/10.1109/ACP/POEM59049.2023.10369537

Statistics for Intensity of Rayleigh Backscattering Based Coherent Distributed Measurement System. / Ren, Yan; Xie, Weilin; Tan, Zhongwei et al.
2023 Asia Communications and Photonics Conference/2023 International Photonics and Optoelectronics Meetings, ACP/POEM 2023. Institute of Electrical and Electronics Engineers Inc., 2023. (2023 Asia Communications and Photonics Conference/2023 International Photonics and Optoelectronics Meetings, ACP/POEM 2023).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Statistics for Intensity of Rayleigh Backscattering Based Coherent Distributed Measurement System

AU - Ren, Yan

AU - Xie, Weilin

AU - Tan, Zhongwei

AU - Wei, Wei

AU - Dong, Yi

PY - 2023

Y1 - 2023

N2 - In this work, a method based on a modified analytical model for the calculation of the statistics of intensity of Rayleigh backscattering of non-ideal light source is presented. Analytical deductions are used to derive the probability density function (PDF). With proper numerical verifications, the results have exhibited the evolution of the PDF in different system states. Moreover, the significance and the potential application of the proposed model are drawn effectively.

AB - In this work, a method based on a modified analytical model for the calculation of the statistics of intensity of Rayleigh backscattering of non-ideal light source is presented. Analytical deductions are used to derive the probability density function (PDF). With proper numerical verifications, the results have exhibited the evolution of the PDF in different system states. Moreover, the significance and the potential application of the proposed model are drawn effectively.

KW - Distributed fiber-optic sensing

KW - Rayleigh backscattering

KW - laser phase noise

UR - http://www.scopus.com/inward/record.url?scp=85183298570&partnerID=8YFLogxK

U2 - 10.1109/ACP/POEM59049.2023.10369537

DO - 10.1109/ACP/POEM59049.2023.10369537

M3 - Conference contribution

AN - SCOPUS:85183298570

T3 - 2023 Asia Communications and Photonics Conference/2023 International Photonics and Optoelectronics Meetings, ACP/POEM 2023

BT - 2023 Asia Communications and Photonics Conference/2023 International Photonics and Optoelectronics Meetings, ACP/POEM 2023

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2023 Asia Communications and Photonics Conference/2023 International Photonics and Optoelectronics Meetings, ACP/POEM 2023

Y2 - 4 November 2023 through 7 November 2023

ER -

Ren Y, Xie W, Tan Z, Wei W, Dong Y. Statistics for Intensity of Rayleigh Backscattering Based Coherent Distributed Measurement System. In 2023 Asia Communications and Photonics Conference/2023 International Photonics and Optoelectronics Meetings, ACP/POEM 2023. Institute of Electrical and Electronics Engineers Inc. 2023. (2023 Asia Communications and Photonics Conference/2023 International Photonics and Optoelectronics Meetings, ACP/POEM 2023). doi: 10.1109/ACP/POEM59049.2023.10369537

Statistics for Intensity of Rayleigh Backscattering Based Coherent Distributed Measurement System

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