Improvement of Spatial Resolution for BOTDR by Iterative Subdivision Method

Wang, Feng; Zhan, Weiwei; Zhang, Xuping; Lu, Y.

doi:10.1109/jlt.2013.2286193

Cited by 56 publications

(20 citation statements)

References 7 publications

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“…In previous research, the sensing information, i.e., the Brillouin gain peak along the fiber is obtained by curve fitting the gain profile point by point from one end to the other [3,[5][6][7][9][10][11]14,15,[20][21][22][23][24][26][27][28][29][30], and that profile ideally follows a Lorentzian shape as described below [31]…”

Section: Spectra Subtraction Theorymentioning

confidence: 99%

Fast information acquisition using spectra subtraction for Brillouin distributed fiber sensors

Guo

Cao

et al. 2019

Opt. Express

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The traditional methods of extracting sensing information of a Brillouin distributed sensor is by curve fitting the Brillouin gain profiles along the fiber, we propose two concise and time-saving methods to process signals from only the frequency shifted section(s) of the fiber by subtracting the original spectrum from the sensing Brillouin spectrum. Experimental results validate that our methods can provide up to over 9 times faster information acquisition for a 10 km sensing fiber with 800 m frequency shifted section comparing with the traditional way. The proposed methods could be potentially attractive in getting information for the Brillouin distributed sensors as well as the Raman and Rayleigh distributed sensors especially when the processing speed is concerned.

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Section: Spectra Subtraction Theorymentioning

confidence: 99%

Fast information acquisition using spectra subtraction for Brillouin distributed fiber sensors

Guo

Cao

et al. 2019

Opt. Express

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“…Since the length L of the FUT is the inherent limitation and the code length N code have the same influence on these schemes, the two factors haven't been listed in Table 2. For the averaging time N aνe , the OFC + OFDM scheme can eliminate the polarization noise while the OCC scheme can enhance it through a cross-correlation algorithm [1,48,49]. Since all the frequency segments are injected into FUT at the same time for the OFC + OFDM scheme, its frequency-switching time is ideally zero.…”

Section: Challenges and Future Perspectivesmentioning

confidence: 99%

Recent Progress in Fast Distributed Brillouin Optical Fiber Sensing

et al. 2018

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Brillouin-based optical fiber sensing has been regarded as a good distributed measurement tool for the modern large geometrical structure and the industrial facilities because it can demodulate the distributed environment information (e.g., temperature and strain) along the sensing fiber. Brillouin optical time domain analysis (BOTDA), which is an excellent and attractive scheme, has been widely developed thanks to its high performance in a signal-to-noise ratio, a spatial resolution, and sensing distance. However, the sampling rate of the classical BOTDA is severely limited by several factors (especially the serially frequency-sweeping process) so that it cannot be suitable for the quickly distributed measurement. In this work, we summarize some promising breakthroughs about the fast BOTDA, which can be named as an optical frequency comb technique, an optical frequency-agile technique, a slope-assisted technique, and an optical chirp chain technique.

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“…The Gaussian and triangular shape have similar extinction ratio which is worse than Lorentzian shape and better than rectangular shape. The requirements for the extinction ratio and the system resolution can differ from the pulse width with the different signal processing methods [33,34], but the T-F localization can indicate the effectiveness of the input pulses in relation to the spatial and frequency resolution in BOTDR systems.…”

Section: Time-frequency Localization In the Botdr Systemmentioning

confidence: 99%

Time and Frequency Localized Pulse Shape for Resolution Enhancement in STFT-BOTDR

Luo

et al. 2016

Journal of Sensors

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Short-Time Fourier Transform-Brillouin Optical Time-Domain Reflectometry (STFT-BOTDR) implements STFT over the full frequency spectrum to measure the distributed temperature and strain along the optic fiber, providing new research advances in dynamic distributed sensing. The spatial and frequency resolution of the dynamic sensing are limited by the Signal to Noise Ratio (SNR) and the Time-Frequency (T-F) localization of the input pulse shape.T-Flocalization is fundamentally important for the communication system, which suppresses interchannel interference (ICI) and intersymbol interference (ISI) to improve the transmission quality in multicarrier modulation (MCM). This paper demonstrates that theT-Flocalized input pulse shape can enhance the SNR and the spatial and frequency resolution in STFT-BOTDR. Simulation and experiments ofT-Flocalized different pulses shapes are conducted to compare the limitation of the system resolution. The result indicates that rectangular pulse should be selected to optimize the spatial resolution and Lorentzian pulse could be chosen to optimize the frequency resolution, while Gaussian shape pulse can be used in general applications for its balanced performance in both spatial and frequency resolution. Meanwhile,T-Flocalization is proved to be useful in the pulse shape selection for system resolution optimization.

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Improvement of Spatial Resolution for BOTDR by Iterative Subdivision Method

Cited by 56 publications

References 7 publications

Fast information acquisition using spectra subtraction for Brillouin distributed fiber sensors

Fast information acquisition using spectra subtraction for Brillouin distributed fiber sensors

Recent Progress in Fast Distributed Brillouin Optical Fiber Sensing

Time and Frequency Localized Pulse Shape for Resolution Enhancement in STFT-BOTDR

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