Optics and Precision Engineering, Volume. 30, Issue 12, 1383(2022)

Adaptive stochastic resonance detection of weak light signal in underwater laser communication

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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    Figures & Tables(15)
    UOWC optical signal transmission model
    Bistable stochastic resonance potential function
    Effect of parameter a,b on the potential function U(x)
    Effect of parameter a,b on the system threshold Ac
    Secondary sampling stochastic resonance
    Large parameter signal stochastic resonance
    Bipolar signal with Gaussian white noise processed by CFACA-ASR system(SNR=-20 dB)
    ACA algorithm convergence graph
    CFACA algorithm convergence graph
    Bit error rate of different detection schemes
    CFACA-ASR error rate under different sampling points
    UOWC experimental system
    Experimental data collected based on CFACA-ASR system processing(SNR=-4.559 5 dB)
    Experimental results of different detection schemes
    • Table 1. Bit error rate comparison of different training sequence lengths under different SNR

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      Table 1. Bit error rate comparison of different training sequence lengths under different SNR

      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
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    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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    Paper Information

    Category: Modern Applied Optics

    Received: Sep. 29, 2021

    Accepted: --

    Published Online: Jul. 5, 2022

    The Author Email: ZHANG Jianlei (zhangjianlei@xupt.edu.cn)

    DOI:10.37188/OPE.20223012.1383

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