期刊
SENSORS
卷 17, 期 8, 页码 -出版社
MDPI
DOI: 10.3390/s17081870
关键词
vibration location extraction; phase-sensitive optical time domain reflectometry; empirical mode decomposition; Pearson correlation coefficient; signal-to-noise ratio
资金
- National Natural Science Foundation of China [61405105, 61475085]
- Shandong Provincial Natural Science Foundation, China [ZR2014FQ015]
- Science and Technology development project of Shandong province [2014GGX101007]
- Fundamental Research Funds of Shandong University [2017JC023, 2014YQ011]
We propose a novel denoising method based on empirical mode decomposition (EMD) to improve the signal-to-noise ratio (SNR) for vibration sensing in phase-sensitive optical time domain reflectometry (phi-OTDR) systems. Raw Rayleigh backscattering traces are decomposed into a series of intrinsic mode functions (IMFs) and a residual component using an EMD algorithm. High frequency noise is eliminated by removing several IMFs at the position without vibration selected by the Pearson correlation coefficient (PCC). When the pulse width is 50 ns, the SNR of location information for the vibration events of 100 Hz and 1.2 kHz is increased to as high as 42.52 dB and 39.58 dB, respectively, with a 2 km sensing fiber, which demonstrates the excellent performance of this new method.
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