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In fiber-optic distributed sensing, vibration signals are mostly assumed tofollow Gaussian distribution for the simplicity of signal processing. However,in real applications, vibration signals often behave as non-Gaussian processes,which have rarely been highly considered. In this paper, a higher-ordercumulants algorithm based phase-sensitive optical time-domain reflectometry(OTDR) is proposed to detect and analyze non-Gaussian vibration signalsaccompanied with noises. When disturbances are applied on the sensing fiber,the distribution probability of Rayleigh backscattering signals will deviatefrom the ideal Gaussian distribution. The non-Gaussian vibration is thenextracted from Gaussian noises based on the probability density distribution.Simulations and experiments are carried out. The experimental results show thatthe demonstrated method can measure non-Gaussian vibrations with improvedsignal-to-noise ratio and spatial resolution.

The detection of non-Gaussian vibrations with improved spatial resolution and signal-to-noise ratio in distributed sensing