Infrared and Laser Engineering, Volume. 53, Issue 9, 20240231(2024)
Study of fast calculation method of far-field radius for laser propagation through turbulent atmosphere
Figures & Tables(14)
Fig. 1. Comparison between scaling law results and simulated results. (a) Far-field effective radius; (b) Relative error of far-field effective radius
Fig. 4. The relationship between mean relative error and trails in hyperparameter search of artificial intelligence model. （a） LightGBM；（b） MLP；（c） MFTT
Fig. 5. Loss function curve of training process of three models. （a） LightGBM; （b） MLP; （c） MFTT
Fig. 6. The evaluation results of each artificial intelligence model compared with the simulated results. （a), （d） LightGBM; （b）, （e） MLP; （c）, （f） MFTT
Fig. 7. The result accuracy of each model on different data quantities.
Fig. 8. The evaluation results compared with the simulated results. （a） Scaling Law; （b） MFTT; （c） LightGBM; （d） MLP
Table 1. Paramter space of Gaussian beam propagating through turbulent atmosphere
View tableView in ArticleTable 1. Paramter space of Gaussian beam propagating through turbulent atmosphere
Parameter Value Wavelength $\lambda $ 1.06 Truncated factor ${F_{{a}}}$ $2\sqrt 2 $ Aperture $D$ 0.2, 0.6, 1.0, 1.2, 1.4, 1.8 Beam quality ${{\beta}_0}$ 1, 2, 4, 6, 8, 10 Jitter deviation ${\sigma _J}$ 0, 1, 2, 4, 6, 8, 10 Distance $L$ 0.4, 0.6, 0.8, 1, 1.2, 2, 4, 6, 8, 10, 15, 20, 30 Elevation $\theta $ 0, 15, 30, 45, 60, 90 Fresnel number ${N_{{F}}}$ $1.5 \leqslant {N_F} \leqslant {\text{6 003}}{\text{.4}}$ ${r_{{\text{0}}{\text{.55}}}}$ ${\text{2}} < {r_{{\text{0}}{\text{.55}}}} < 22.83$
Table 2. Hyperparameter search space of LightGBM
View tableView in ArticleTable 2. Hyperparameter search space of LightGBM
Name Hyperparameter Value Best value Max_bin ${B_{in}}$ $1 \leqslant {B_{in}} \leqslant 1\;000$ 107 Num_iterations ${I_{ter}}$ $1 \leqslant {I_{ter}} \leqslant 1\;000$ 806 Learning_rate ${L_r}$ $0.01\; \leqslant {L_r} \leqslant 0.3$ 0.1028 Num_leaves ${L_e}$ $1\; \leqslant {L_e}\; \leqslant 1\;000$ 359
Table 3. Hyperparameter search space of MLP
View tableView in ArticleTable 3. Hyperparameter search space of MLP
Name Hyperparameter Value Best value Number of layers ${N_{\text{l}}}$ $1\; \leqslant {N_{\text{l}}} \leqslant 10$ 2 Number of units ${N_{{u}}}$ $7 \leqslant {N_{{u}}}\; \leqslant 256$ 231, 145
Table 4. Hyperparameter search space of MFTT
View tableView in ArticleTable 4. Hyperparameter search space of MFTT
Name Hyperparameter Value Best value Number of heads $ {N_{{h}}} $ $1\; \leqslant {N_{{h}}}\; \leqslant 5$ 2 Number of tokens $ {N_{{t}}} $ $ 1\; \leqslant {N_{{t}}}\; \leqslant 50 $ 14 Number of units $ {N_{{u}}} $ $ 1\; \leqslant {N_{{u}}} \leqslant 256 $ 76 Rate of drop out ${R_{{d}}}$ $0.1 \leqslant {R_{{d}}} \leqslant 0.3$ 0.219 Number of output units ${N_{{{ou}}}}$ $32 \leqslant {N_{{{ou}}}} \leqslant 256$ 111
Table 5. Paramter space of Gaussian beam propagating through turbulent atmosphere
View tableView in ArticleTable 5. Paramter space of Gaussian beam propagating through turbulent atmosphere
Parameter Value Wavelength $\lambda $ 1.06 Truncated factor ${F_{{a}}}$ 3.5, 4.5, 5.5 Aperture $D$ 0.3, 0.5, 0.8 Beam quality ${{\beta}_0}$ 1, 3, 5, 8 Jitter deviation ${\sigma _J}$ 0, 1, 5, 7 Distance $L$ 3, 5, 9, 16 Elevation $\theta $ 0, 20, 50 Fresnel number ${N_{{F}}}$ $1.5 \leqslant {N_F} \leqslant 110$ ${r_{{\text{0}}{\text{.55}}}}$ ${\text{2}} < {r_{{\text{0}}{\text{.55}}}} < 14$
Tools
Get Citation
Copy Citation Text
Xun CUI, Xiaowei CHEN, Xianmei QIAN, Wenyue ZHU, Pengfei WU, Lingyun MIN, Ruizhong RAO. Study of fast calculation method of far-field radius for laser propagation through turbulent atmosphere[J]. Infrared and Laser Engineering, 2024, 53(9): 20240231
Paper Information
Category:
Received: May. 28, 2024
Accepted: Jul. 31, 2024
Published Online: Oct. 22, 2024
The Author Email: CHEN Xiaowei (cxw@aiofm.ac.cn)
© Copyright 2018-2021 | Chinese Laser Press.
All Rights Reserved 沪ICP备15018463号-20