Qian Zhang, Tao Wang, Jieru Zhao, Jingyang Liu, Jianzhong Zhang, Lijun Qiao, Shaohua Gao, Mingjiang Zhang. Denoising Algorithm for Brillouin Optical Time-Domain Analysis Sensing Systems Based on Local Mean Decomposition[J]. Acta Optica Sinica, 2021, 41(13): 1306009
- Acta Optica Sinica
- Vol. 41, Issue 13, 1306009 (2021)
Fig. 1. Experimental device diagram of the BOTDA sensing system
Fig. 2. Flow chart of the LMD noise reduction algorithm
Fig. 3. Decomposition results of the LMD algorithm
Fig. 4. Fourier transform spectra of different PF components
Fig. 5. Residual component decomposed by LMD algorithm
Fig. 6. Energy distributions of different PF components
Fig. 7. BOTDA signal before and after LMD algorithm noise reduction
Fig. 8. Flow chart of optimized LMD noise reduction algorithm
Fig. 9. Filter curve of the Chebyshev I digital bandpass filter
Fig. 10. Typical PF curves and spectra before and after filtering. (a) Timing curve before filtering; (b) spectrum curve before filtering; (c) timing curve after filtering; (d) spectrum curve after filtering
Fig. 11. Time domain curve of BOTDA signal before and after optimized LMD algorithm for noise reduction
Fig. 12. Noise reduction results of the optimized LMD algorithm for different pulse widths. (a) 50 ns; (b) 70 ns; (c) 100 ns
Fig. 13. Change curves of signal SNR before and after noise reduction with the frequency of the probe light
Fig. 14. SNR analysis at different probe light frequencies. (a) Signal amplitude; (b) noise variance; (c) SNR
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Table 1. Running time of two algorithms
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