Acta Optica Sinica, Volume. 44, Issue 19, 1906002(2024)
Modeling and FPGA Application of Optoelectronic Oscillation Chaotic System Based on Deep Learning
Fig. 1. LSTM modeling and FPGA deployment process of OEO chaotic system. (a) OEO system structure based on MZM; (b) LSTM model; (c) target FPGA platform
Fig. 2. Time series and scatter plots of model prediction data and real data under different s. (a)(b) s=1; (c)(d) s=2
Fig. 10. Phase diagrams of OEO chaotic system and FPGA end chaotic AI model. (a) OEO system; (b) FPGA end model
Fig. 11. Chaotic AI model output results of FPGA before and after adding disturbance. (a) Time series plot of the first prediction point; (b) MSE between model outputs before and after adding disturbance
Fig. 12. Comparison of output waveform of chaotic AI model between FPGA and PC. (a) FPGA; (b) PC
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Zhuoyu Zhang, Lin Jiang, Boyang Chen, Guohao Feng, Jiacheng Feng, Lianshan Yan. Modeling and FPGA Application of Optoelectronic Oscillation Chaotic System Based on Deep Learning[J]. Acta Optica Sinica, 2024, 44(19): 1906002
Category: Fiber Optics and Optical Communications
Received: Apr. 21, 2024
Accepted: May. 16, 2024
Published Online: Oct. 12, 2024
The Author Email: Jiang Lin (linjiang@swjtu.edu.cn)
CSTR:32393.14.AOS240879