• Optics and Precision Engineering
  • Vol. 30, Issue 12, 1383 (2022)
Jianlei ZHANG1,*, Xiang LAN1, Yi YANG1, Fengtao HE1, and Yunzhou ZHU2,3
Author Affiliations
  • 1School of Electronic Engineering, Xi'an University of Posts & Telecommunications, Xi'an702, China
  • 2Xi'an Precision Machinery Research Institute, Chinese Academy of Sciences, Xi'an710077, China
  • 3Science and Technology on Underwater Information and Control Laboratory, Xi'an710077, China
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    DOI: 10.37188/OPE.20223012.1383 Cite this Article
    Jianlei ZHANG, Xiang LAN, Yi YANG, Fengtao HE, Yunzhou ZHU. Adaptive stochastic resonance detection of weak light signal in underwater laser communication[J]. Optics and Precision Engineering, 2022, 30(12): 1383 Copy Citation Text show less
    UOWC optical signal transmission model
    Fig. 1. UOWC optical signal transmission model
    Bistable stochastic resonance potential function
    Fig. 2. Bistable stochastic resonance potential function
    Effect of parameter a,b on the potential function U(x)
    Fig. 3. Effect of parameter ab on the potential function Ux
    Effect of parameter a,b on the system threshold Ac
    Fig. 4. Effect of parameter ab on the system threshold Ac
    Secondary sampling stochastic resonance
    Fig. 5. Secondary sampling stochastic resonance
    Large parameter signal stochastic resonance
    Fig. 6. Large parameter signal stochastic resonance
    Bipolar signal with Gaussian white noise processed by CFACA-ASR system(SNR=-20 dB)
    Fig. 7. Bipolar signal with Gaussian white noise processed by CFACA-ASR system(SNR=-20 dB)
    ACA algorithm convergence graph
    Fig. 8. ACA algorithm convergence graph
    CFACA algorithm convergence graph
    Fig. 9. CFACA algorithm convergence graph
    Bit error rate of different detection schemes
    Fig. 10. Bit error rate of different detection schemes
    CFACA-ASR error rate under different sampling points
    Fig. 11. CFACA-ASR error rate under different sampling points
    UOWC experimental system
    Fig. 12. UOWC experimental system
    Experimental data collected based on CFACA-ASR system processing(SNR=-4.559 5 dB)
    Fig. 13. Experimental data collected based on CFACA-ASR system processing(SNR=-4.559 5 dB)
    Experimental results of different detection schemes
    Fig. 14. Experimental results of different detection schemes
    信噪比/dB训练序列码元个数
    102030
    -58.57×10-48.23×10-45.96×10-4
    -45.55×10-42.96×10-41.62×10-4
    -36.3×10-58.0×10-53.2×10-5
    -21.8×10-51.4×10-52.0×10-6
    -15.0×10-62.0×10-60
    0000
    Table 1. Bit error rate comparison of different training sequence lengths under different SNR
    Jianlei ZHANG, Xiang LAN, Yi YANG, Fengtao HE, Yunzhou ZHU. Adaptive stochastic resonance detection of weak light signal in underwater laser communication[J]. Optics and Precision Engineering, 2022, 30(12): 1383
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