• Acta Optica Sinica
  • Vol. 38, Issue 12, 1229001 (2018)
Yang Sui**, Chuannan Meng, Wei Dong*, and Xindong Zhang
Author Affiliations
  • State Key Joint Laboratory of Integrated Optoelectronics, College of Electronic Science and Engineering, Jilin University, Changchun, Jilin 130012, China
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    DOI: 10.3788/AOS201838.1229001 Cite this Article Set citation alerts
    Yang Sui, Chuannan Meng, Wei Dong, Xindong Zhang. Method for Direct Temperature Extraction of Brillouin Scattering Spectra Based on Radial Basis Function Neural Network[J]. Acta Optica Sinica, 2018, 38(12): 1229001 Copy Citation Text show less
    Brillouin scattering gain spectra
    Fig. 1. Brillouin scattering gain spectra
    Flow chart of temperature measurements based on RBFNN and fitting methods
    Fig. 2. Flow chart of temperature measurements based on RBFNN and fitting methods
    Structural diagram of RBFNN
    Fig. 3. Structural diagram of RBFNN
    Structural diagram of Brillouin gain spectrum test system
    Fig. 4. Structural diagram of Brillouin gain spectrum test system
    Brillouin spectra at different sweeping frequencies and at 45 ℃. (a) 1 MHz; (b) 5 MHz; (c) 10 MHz; (d) 20 MHz
    Fig. 5. Brillouin spectra at different sweeping frequencies and at 45 ℃. (a) 1 MHz; (b) 5 MHz; (c) 10 MHz; (d) 20 MHz
    Smooth fitting curve of Brillouin spectrum at 45 ℃
    Fig. 6. Smooth fitting curve of Brillouin spectrum at 45 ℃
    Linear fitting of Brillouin frequency shift
    Fig. 7. Linear fitting of Brillouin frequency shift
    Errors of test samples using fitting method
    Fig. 8. Errors of test samples using fitting method
    Test errors of RBFNN and BPNN at sweeping frequency of 0.175 MHz
    Fig. 9. Test errors of RBFNN and BPNN at sweeping frequency of 0.175 MHz
    Predicted temperature deviations at 5 different sweeping frequencies
    Fig. 10. Predicted temperature deviations at 5 different sweeping frequencies
    RMSEs for 3 methods at 5 different sweeping frequencies
    Fig. 11. RMSEs for 3 methods at 5 different sweeping frequencies
    RMSEs for 3 methods after linewidth extension at 5 different sweeping frequencies
    Fig. 12. RMSEs for 3 methods after linewidth extension at 5 different sweeping frequencies
    Sweeping frequency /MHzPoint numberKσ
    0.175116012.77
    162671.20
    528580.50
    1057290.30
    20114150.20
    Table 1. Parameters at different sweeping frequencies
    Yang Sui, Chuannan Meng, Wei Dong, Xindong Zhang. Method for Direct Temperature Extraction of Brillouin Scattering Spectra Based on Radial Basis Function Neural Network[J]. Acta Optica Sinica, 2018, 38(12): 1229001
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