Acta Photonica Sinica, Volume. 53, Issue 3, 0301003(2024)
Underwater Blue-green Light Weak Signal Detection Based on Adaptive Stochastic Resonance
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Fig. 2. Potential function of a bistable stochastic resonance system
Fig. 3. Flow chart of adaptive stochastic resonance based on MFPSO algorithm
Fig. 5. Bipolar non-return-to-zero signals with Gaussian white noise processed by MFPSO algorithm and corresponding eye images before and after processing
Fig. 6. Changes of bit error rate with SNR under different detection schemes
Fig. 7. Underwater wireless optical communication experimental system
Fig. 8. Optimization of parameters a and b based on MFPSO algorithm （SNR=-1.7 dB）
Fig. 9. Experimental data collected based on MFPSO system processing （SNR=-1.7 dB）
Table 1. The parameter settings of PSO and MFPSO algorithms
View tableView in ArticleTable 1. The parameter settings of PSO and MFPSO algorithms
Parameter M Nmaxiter wmax wmin c1 c2 Imax PSO 100 100 1 1 2 2 — MFPSO 100 100 0.9 0.4 2 2 10
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Jianlei ZHANG, Juan ZHANG, Yunzhou ZHU, Xinyu YAO, Qianqian WU, Yi YANG, Fengtao HE. Underwater Blue-green Light Weak Signal Detection Based on Adaptive Stochastic Resonance[J]. Acta Photonica Sinica, 2024, 53(3): 0301003
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Received: Aug. 16, 2023
Accepted: Nov. 21, 2023
Published Online: May. 16, 2024
The Author Email: Jianlei ZHANG (zhangjianlei@xupt.edu.cn)
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