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

被引：0
|
作者：
Zhang J. [1 ]
Lan X. [1 ]
Yang Y. [1 ]
He F. [1 ]
Zhu Y. [2 ,3 ]
机构：
[1] School of Electronic Engineering, Xi'an University of Posts & Telecommunications, Xi'an
[2] Xi'an Precision Machinery Research Institute, Chinese Academy of Sciences, Xi'an
[3] Science and Technology on Underwater Information and Control Laboratory, Xi'an
来源：
Guangxue Jingmi Gongcheng/Optics and Precision Engineering | 2022年 / 30卷 / 12期
关键词：
Ant colony algorithm; Low signal-to-noise ratio; Stochastic resonance; Underwater optical wireless communication;
D O I：
10.37188/OPE.20223012.1383
中图分类号：
学科分类号：
摘要：
In underwater optical wireless communication (UOWC) systems, the low signal-to-noise ratio causes received optical signals to be submerged in strong noise. To solve this problem, a detection method for underwater weak optical signals based on adaptive stochastic resonance (ASR) is proposed. In this study, the characteristics of underwater weak light signals and the detection mechanism of stochastic resonance are analyzed. The concept of twice sampling is introduced to enable the application of stochastic resonance to optical signal detection at any frequency. Additionally, the parameters that affected the stochastic resonance system are evaluated, and a detection method combining the improved ant colony algorithm and stochastic resonance is proposed. The system dynamically adjusts the system parameters based on the detection performance, such that the entire system achieves the optimal matching state to realize ASR. To verify the effectiveness of the method, a UOWC experimental system based on an avalanche photodiode is built. The experimental results show that the bit error rate is 5×10-4 when SNR=-4.559 5 dB. Thus, underwater weak light signal detection based on ASR is proved to significantly improve the bit error rate performance of UOWC receivers. © 2022, Science Press. All right reserved.
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页码：1383 / 1393
页数：10
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