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
N1 - Publisher Copyright:
© 2023 IEEE.
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 -