Φ-OTDR Signal-Denoising Method Based on PE-CEEMD-SVD
To precisely measure phase signals in phase-sensitive optical time-domain reflectometers,a novel noise-reduction method is proposed that is based on complementary ensemble empirical modal decomposition coupled with singular value decomposition using a permutation entropy algorithm. Initially,a phase signal containing noise is decomposed via complementary ensemble empirical modal decomposition (CEEMD) to obtain a series of components with different frequencies. Subsequently,the PE algorithm is combined with the correlation coefficient mechanism to retain useful components with a larger correlation,and the singular-value-decomposition algorithm is used to denoise the noise components with a smaller correlation. Finally,the useful components,retained after two denoising processes,are reconstructed. Simulation and experimental results demonstrate that,compared with empirical modal decomposition,ensemble empirical modal decomposition,and CEEMD,the proposed method achieves a higher signal-to-noise ratio,which is beneficial for the precise measurement of phase signals.
Φ-OTDRpermutation entropycomplementary ensemble empirical modal decompositionsingular value decompositionsignal-to-noise ratio
万方数据
维普
