一种减小Φ-OTDR光纤扰动传感系统中频率漂移误差的新定位算法

Yuan Wei; Xiaxiao Wang; Zhanjun Wu; Jia Yu

doi:10.16818/j.issn1001-5868.2018.05.025

一种减小Φ-OTDR光纤扰动传感系统中频率漂移误差的新定位算法

Translated title of the contribution: A New Localization Algorithm to Reduce The Frequency Drift Error in Φ-OTDR Optical Fiber Sensing System

Beihang University

Research output: Contribution to journal › Article › peer-review

2 Scopus citations

Abstract

The frequency drift of laser greatly affects the positioning accuracy of the phase-sensitive optical time-domain reflectometer (Φ-OTDR) distributed optical fiber disturbance sensing system. So a new localization algorithm based on spectrum analysis was proposed to replace the traditional time-domain moving difference and average algorithm. The collected scattering curve data was taken as the Fourier transform, and then the characteristic frequency interval was selected to calculate the location result, which can effectively suppress the positioning error caused by the laser frequency drift. In addition, a prototype of 8 km was built to test the positioning algorithm. Test results indicate that the signal-to-noise ratio of the final system is improved, and the effectiveness of the algorithm is verified.

Translated title of the contribution	A New Localization Algorithm to Reduce The Frequency Drift Error in Φ-OTDR Optical Fiber Sensing System
Original language	Chinese (Traditional)
Pages (from-to)	733-736 and 741
Journal	Bandaoti Guangdian/Semiconductor Optoelectronics
Volume	39
Issue number	5
DOIs	https://doi.org/10.16818/j.issn1001-5868.2018.05.025
State	Published - 1 Oct 2018

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title = "一种减小Φ-OTDR光纤扰动传感系统中频率漂移误差的新定位算法",

abstract = "The frequency drift of laser greatly affects the positioning accuracy of the phase-sensitive optical time-domain reflectometer (Φ-OTDR) distributed optical fiber disturbance sensing system. So a new localization algorithm based on spectrum analysis was proposed to replace the traditional time-domain moving difference and average algorithm. The collected scattering curve data was taken as the Fourier transform, and then the characteristic frequency interval was selected to calculate the location result, which can effectively suppress the positioning error caused by the laser frequency drift. In addition, a prototype of 8 km was built to test the positioning algorithm. Test results indicate that the signal-to-noise ratio of the final system is improved, and the effectiveness of the algorithm is verified.",

keywords = "Characteristic frequency range, Laser frequency drift, Localization algorithm, Spectrum analysis, Φ-OTDR",

author = "Yuan Wei and Xiaxiao Wang and Zhanjun Wu and Jia Yu",

year = "2018",

month = oct,

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doi = "10.16818/j.issn1001-5868.2018.05.025",

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T1 - 一种减小Φ-OTDR光纤扰动传感系统中频率漂移误差的新定位算法

AU - Wei, Yuan

AU - Wang, Xiaxiao

AU - Wu, Zhanjun

AU - Yu, Jia

PY - 2018/10/1

Y1 - 2018/10/1

N2 - The frequency drift of laser greatly affects the positioning accuracy of the phase-sensitive optical time-domain reflectometer (Φ-OTDR) distributed optical fiber disturbance sensing system. So a new localization algorithm based on spectrum analysis was proposed to replace the traditional time-domain moving difference and average algorithm. The collected scattering curve data was taken as the Fourier transform, and then the characteristic frequency interval was selected to calculate the location result, which can effectively suppress the positioning error caused by the laser frequency drift. In addition, a prototype of 8 km was built to test the positioning algorithm. Test results indicate that the signal-to-noise ratio of the final system is improved, and the effectiveness of the algorithm is verified.

AB - The frequency drift of laser greatly affects the positioning accuracy of the phase-sensitive optical time-domain reflectometer (Φ-OTDR) distributed optical fiber disturbance sensing system. So a new localization algorithm based on spectrum analysis was proposed to replace the traditional time-domain moving difference and average algorithm. The collected scattering curve data was taken as the Fourier transform, and then the characteristic frequency interval was selected to calculate the location result, which can effectively suppress the positioning error caused by the laser frequency drift. In addition, a prototype of 8 km was built to test the positioning algorithm. Test results indicate that the signal-to-noise ratio of the final system is improved, and the effectiveness of the algorithm is verified.

KW - Characteristic frequency range

KW - Laser frequency drift

KW - Localization algorithm

KW - Spectrum analysis

KW - Φ-OTDR

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DO - 10.16818/j.issn1001-5868.2018.05.025

M3 - 文章

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JO - Bandaoti Guangdian/Semiconductor Optoelectronics

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IS - 5

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一种减小Φ-OTDR光纤扰动传感系统中频率漂移误差的新定位算法

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