Acta Optica Sinica, Volume. 41, Issue 13, 1306009(2021)
Denoising Algorithm for Brillouin Optical Time-Domain Analysis Sensing Systems Based on Local Mean Decomposition
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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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
Category: Fiber Optics and Optical Communications
Received: Feb. 24, 2021
Accepted: Apr. 28, 2021
Published Online: Jul. 11, 2021
The Author Email: Mingjiang Zhang (zhangmingjiang@tyut.edu.cn)