2012
DOI: 10.1109/lpt.2012.2203299
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Reducing Trade-Off Between Spatial Resolution and Frequency Accuracy in BOTDR Using Cohen's Class Signal Processing Method

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Cited by 17 publications
(7 citation statements)
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“…where P rp (τ) is the relative peak power of the measured BGS closely related with the width of the probe pulse. The relative SNR versus laser linewidth under different pulse widths was numerically simulated and is plotted in Figure 5a according to Equation (12). Further, the BFS measurement error was calculated based on Equation 1and normalized as shown in Figure 5b.…”
Section: Numerical Simulationmentioning
confidence: 99%
See 1 more Smart Citation
“…where P rp (τ) is the relative peak power of the measured BGS closely related with the width of the probe pulse. The relative SNR versus laser linewidth under different pulse widths was numerically simulated and is plotted in Figure 5a according to Equation (12). Further, the BFS measurement error was calculated based on Equation 1and normalized as shown in Figure 5b.…”
Section: Numerical Simulationmentioning
confidence: 99%
“…Originally, a simple Levenberg-Marquart algorithm was used for BGS fitting [11]. Then, a series of time-frequency analysis methods called Cohen's class were proposed for the signal processing of BOTDR, reducing the BFS fluctuation by three times [12]. For improving both the measurement accuracy and data processing speed, a similarity matching method was proposed, making the standard derivation of BFS results three times better [13].…”
Section: Introductionmentioning
confidence: 99%
“…In DPP-BOTDA, a pair of pulses with a small difference of the pulse widths are successively launched into the FUT; the Brillouin interaction is recorded for twice and a subtraction is performed to achieve the sensing trace with the high spatial resolution determined by the small pulse-width difference. The spatial resolution of BOTDR has been also more or less improved by an experimental optimization or signal processing process [135][136][137]. Although BOTDA and BOTDR are excellent for long sensing range (such as kilometers or tens of km), they still suffer the physical limitation of maximum range due to the nature of fiber loss and/or the Brillouin depletion effect.…”
Section: System Improvement Of Sensing Techniquesmentioning
confidence: 99%
“…The Brillouin frequency domain analysis (BOFDA) is a new technology for temperature and strain measurement. Using this type of distributed sensing technology, the parameters can be measured as a function of the length optical fiber sensor [1][2][3][4][5][6][7][8]. The strain and temperature distribution information of the entire optical fiber can be continuously measured and real-time display by BOFDA technology.…”
Section: Journal Of Sensorsmentioning
confidence: 99%
“…The output signal of detector is input to the network analyzer instrument that is based on the light baseband transmission function. The output signal ℎ( ) of network analyzer converted by the inverse fast Fourier transform contains the strain or temperature distribution information along the optical fiber sensor [6][7][8]. Figure 2 shows the principle of BOFDA system.…”
Section: Principle Of Bofdamentioning
confidence: 99%