Brillouin Scattering Spectrum Analysis Based on Auto-Regressive Spectral Estimation

Huang, Mengyun; Li, Wei; Zhangyun, Liu; Cheng, Lei; Guan, Bai‐Ou

doi:10.1007/s13320-018-0488-7

Cited by 3 publications

(2 citation statements)

References 7 publications

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“…In 2018, Huang et al applied auto-regressive (AR) spectral estimation technology to the analysis of a Brillouin backscattering spectrum based on the Burg algorithm. The measurement accuracy was improved three times compared to that obtained by conventional FFT at a moderate spatial resolution [83].…”

Section: Performance Improvement Of Botdrsmentioning

confidence: 99%

“… 1 The research groups were sorted and listed alphabetically; 2 It is the recorded demodulation time for per envelope of the GHWT-DED with average times of 2 10 ; 3 The parameters were obtained based on numerical simulation; 4 The measurement accuracy was an estimated value based on experiment results in [83]; 5 The sensing range of 36 km was simulated by adding attenuators with total insert loss of 6.5 dB.…”

Section: Figurementioning

confidence: 99%

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Recent Advances in Brillouin Optical Time Domain Reflectometry

Bai

Wang

et al. 2019

Sensors

100

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In the past two decades Brillouin-based sensors have emerged as a newly-developed optical fiber sensing technology for distributed temperature and strain measurements. Among these, the Brillouin optical time domain reflectometer (BOTDR) has attracted more and more research attention, because of its exclusive advantages, including single-end access, simple system architecture, easy implementation and widespread field applications. It is realized mainly by injecting optical pulses into the fiber and detecting the Brillouin frequency shift (BFS), which is linearly related to the change of ambient temperature and axial strain of the sensing fiber. In this paper, the authors provide a review of new progress on performance improvement and applications of BOTDR in the last decade. Firstly, the recent advances in improving the performance of BOTDRs are summarized, such as spatial resolution, signal-to-noise ratio and measurement accuracy, measurement speed, cross sensitivity and other properties. Moreover, novel-type optical fibers bring new characteristics to optic fiber sensors, hence we introduce the different Brillouin sensing features of special fibers, mainly covering the plastic optical fiber, photonic crystal fiber, few-mode fiber and other special fibers. Additionally, we present a brief overview of BOTDR application scenarios in many industrial fields and intelligent perception, including structural health monitoring of large-range infrastructure, geological disaster prewarning and other applications. To conclude, we discuss several challenges and prospects in the future development of BOTDRs.

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Section: Performance Improvement Of Botdrsmentioning

confidence: 99%

Section: Figurementioning

confidence: 99%