Denoising Method for Single-Ended BOTDA System Based on Empirical Mode Decomposition
To address the problems of high noise and low signal-to-noise ratio in single-ended Brillouin optical time-domain analysis systems,a denoising method based on empirical mode decomposition(EMD)was developed.Theoretical analyses of the denoising principle of EMD and the sensing principle of single-ended Brillouin optical time-domain analysis in a few-mode optical fiber were conducted.The denoising effect of EMD was comparatively analyzed by constructing a single-ended Brillouin optical time-domain analysis temperature-sensing system.The experimental and simulation results show that the EMD algorithm exhibited a good denoising effect on the temperature sensing system and that it improved the signal-to-noise ratio and temperature measurement accuracy by approximately 3.06 dB and 0.98 ℃,respectively.
Brillouin optical time domain analysisempirical mode decompositiontemperature sensingdenoising method
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