首页|SNR improvement of vibration sensing in a conventional phase-OTDR by k-parameter statistical analysis
SNR improvement of vibration sensing in a conventional phase-OTDR by k-parameter statistical analysis
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NSTL
Elsevier
A signal processing method based on the kurtosis parameter (k-parameter) statistical analysis is demonstrated for vibration sensing in a phase-sensitive optical time domain reflectometry with conventional configuration. The technique allows for denoising and enhancing the position accuracy of the sensing system. The k parameters of the backscattering amplitude along the sensing fiber are calculated to recover the real vibration signal from Gaussian noises. The modeled results show that the k-parameter algorithm efficiently remove Gaussian noise from the vibration signal based on the probability density distribution. In experiments, vibration measurements in a similar to 12 km long sensing fiber are carried out, and the vibration point is placed at the far-end (11.9 km) of the sensing fiber. Finally, the location signal-to-noise ratio of 5.61 dB and the spatial resolution of 5.1 m with pulse width of 200 ns is obtained by the k-parameter statistical analysis.
NSTL
Elsevier
