Chinese Journal of Lasers, Volume. 45, Issue 1, 106004(2018)
Feature Extraction of Multi-peak Brillouin Scattering Spectrum Based on SFLA-LSSVM Algorithm
Fig. 2. Fitting curves of multi-peak Brillouin scattering spectra under different line width. (a) ΔvB=40 MHz; (b) ΔvB=60 MHz; (c) ΔvB=80 MHz; (d) ΔvB=100 MHz
Fig. 3. Fitting curves of multi-peak Brillouin scattering spectra under different RSN. (a) RSN=20 dB; (b) RSN=25 dB; (c) RSN=30 dB
Fig. 4. Fitting curves of multi-peak Brillouin scattering spectra under four algorithms. (a) PSO; (b) PSO-LM; (c) GA-BP; (d) SFLA-LSSVM
Fig. 5. Brillouin scattering spectrum system diagram of distributed optical fiber sensing
Fig. 6. Three-dimensional diagram of Brillouin scattering spectrum under experimental conditions
Fig. 7. The cross section of the Brillouin scattering spectrum under experimental conditions
Fig. 8. Fitting curves of multi-peak Brillouin scattering spectra under different algorithms. (a) LSSVM; (b) SFLA-LSSVM
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Zhang Yanjun, Jin Peijun, Fu Xinghu, Zhang Fangcao, Hou Jiaoru, Xu Jinrui. Feature Extraction of Multi-peak Brillouin Scattering Spectrum Based on SFLA-LSSVM Algorithm[J]. Chinese Journal of Lasers, 2018, 45(1): 106004
Category: Fiber optics and optical communication
Received: Jul. 25, 2017
Accepted: --
Published Online: Jan. 24, 2018
The Author Email: Yanjun Zhang (yjzhang@ysu.edu.cn)