Chonghui Zheng, Tianshu Wang, Zheqi Liu, Qiaochu Yang, Xianzhu Liu. Deep transfer learning method to identify orbital angular momentum beams[J]. Opto-Electronic Engineering, 2022, 49(6): 210409
- Opto-Electronic Engineering
- Vol. 49, Issue 6, 210409 (2022)
Fig. 1. LG beams with topological charges of +2 and +5. (a) Topological charge is +2; (b) Topological charge is +5
Fig. 2. The mapping relationship between LG beam and data
Fig. 3. Phase screen of r0=0.24 m and r0=0.09 m and normalized phase screen.
(a) Phase screen of r0=0.24 m; (b) Phase screen of r0=0.09 m;
(c) Normalized phase screen of r0=0.24 m; (d) Normalized phase screen of r0=0.09 m
Fig. 4. Transfer learning architecture based on VGG16
Fig. 5. System structure
Fig. 6. Intensity diagram of ±5 order LG beam when D/r0 is 1.5 and 4. (a) D/r0=1.5; (b) D/r0=4
Fig. 7. Training accuracy and validation accuracy of different recognition models. (a) Based on transfer learning; (b) Based on VGG16
Fig. 8. Confusion matrix of transfer learning model in different turbulent environment. (a) D/r0=1.5 ; (b) D/r0=4
Fig. 9. Confusion matrix of VGG16 model in different turbulent environment. (a) D/r0=1.5; (b) D/r0=4
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Table 1. Model evaluation indicators
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