Study On Optical Communications, Volume. 50, Issue 4, 23014201(2024)
PSO-GPR for Linear Fit of Fiber Grating Sensing
Figures & Tables(10)
Fig. 4. Spectrogram of OSA scan under 501 sample points in the experiment
Table 1. R2 and Q1 using the conventional peak search algorithm
View tableView in ArticleTable 1. R2 and Q1 using the conventional peak search algorithm
解调算法 最大值法 质心法 高斯拟合法 R2 Q1 R2 Q1 R2 Q1 中心波长1 0.848 3 2.011e-05 0.938 8 1.954e-05 0.938 4 1.969e-05 中心波长2 0.815 1 1.919e-05 0.939 1 1.946e-05 0.939 4 1.959e-05 中心波长3 0.823 4 1.977e-05 0.935 4 1.945e-05 0.935 8 1.959e-05 中心波长4 0.851 1 2.109e-05 0.936 6 1.950e-05 0.936 4 1.959e-05 中心波长5 0.840 5 2.021e-05 0.937 6 1.945e-05 0.937 5 1.958e-05
Table 2. Hyperparameter values optimized with PSO
View tableView in ArticleTable 2. Hyperparameter values optimized with PSO
超参数 数值 σl 1.588 3 σf 9.978 3 σn 3.841 1
Table 3. The linear fit of each algorithm at 810~1 000 g
View tableView in ArticleTable 3. The linear fit of each algorithm at 810~1 000 g
算法 R2 最大值法 0.105 8 质心法 0.945 8 高斯拟合法 0.946 6 未优化Matern32-GPR法 0.948 0 PSO-GPR模型 0.951 9
Table 4. R2 and Q1 obtained by conventional algorithm at different sample points
View tableView in ArticleTable 4. R2 and Q1 obtained by conventional algorithm at different sample points
采样点个数 算法 最大值法 质心法 高斯拟合法 R2 Q1 R2 Q1 R2 Q1 501 0.731 3 1.561e-05 0.990 0 1.483e-05 0.990 0 1.493e-05 251 0.701 6 1.542e-05 0.990 0 1.483e-05 0.990 1 1.493e-05 167 0.660 7 1.482e-05 0.989 9 1.484e-05 0.989 7 1.496e-05 126 0.643 8 1.488e-05 0.990 1 1.481e-05 0.985 1 1.507e-05
Table 5. R2 of each algorithm for different sampling points at 200~1 000 g
View tableView in ArticleTable 5. R2 of each algorithm for different sampling points at 200~1 000 g
采样点个数 最大值法 PSO-GPR模型 501 0.731 3 0.990 0 251 0.701 6 0.987 6 167 0.660 7 0.988 1 126 0.643 8 0.989 8
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Min QIAN, Lin GUI, Xiaoxuan LIAN, Meiqi DING, Liandong WANG. PSO-GPR for Linear Fit of Fiber Grating Sensing[J]. Study On Optical Communications, 2024, 50(4): 23014201
Paper Information
Category: Research Articles
Received: Sep. 8, 2023
Accepted: --
Published Online: Aug. 15, 2024
The Author Email: GUI Lin (guilin@sspu.edu.cn)
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