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

ZHANG Jianlei; LAN Xiang; YANG Yi; HE Fengtao; ZHU Yunzhou

doi:10.37188/OPE.20223012.1383

您当前的位置：

首页 >

文章列表页 >

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

Modern Applied Optics | 更新时间：2026-09-11

- Adaptive stochastic resonance detection of weak light signal in underwater laser communication
- Optics and Precision Engineering Vol. 30, Issue 12, Pages: 1383-1393(2022)
- 作者机构：
  
  1.西安邮电大学电子工程学院，陕西西安 710121
  2.中国科学院西安精密机械研究所，陕西西安 710077
  3.水下信息与控制重点实验室，陕西西安 710077
- 作者简介：
- 基金信息：
- DOI：10.37188/OPE.20223012.1383
  CLC： TN929.1
- Received：29 September 2021，
  
  Revised：2021-12-08，
  
  Published：25 June 2022
- 稿件说明：
移动端阅览
张建磊,兰香,杨祎等.水下激光通信弱光信号的自适应随机共振检测[J].光学精密工程,2022,30(12):1383-1393.

ZHANG Jianlei,LAN Xiang,YANG Yi,et al.Adaptive stochastic resonance detection of weak light signal in underwater laser communication[J].Optics and Precision Engineering,2022,30(12):1383-1393.
张建磊,兰香,杨祎等.水下激光通信弱光信号的自适应随机共振检测[J].光学精密工程,2022,30(12):1383-1393. DOI： 10.37188/OPE.20223012.1383.

ZHANG Jianlei,LAN Xiang,YANG Yi,et al.Adaptive stochastic resonance detection of weak light signal in underwater laser communication[J].Optics and Precision Engineering,2022,30(12):1383-1393. DOI： 10.37188/OPE.20223012.1383.

摘要

针对水下无线光通信（Underwater Optical Wireless Communication，UOWC）系统中由于低信噪比导致的接收光信号被淹没在强噪声中难以检测的问题，提出一种基于自适应随机共振（Adaptive Stochastic Resonance，ASR）的水下弱光信号检测方法。本文通过分析水下弱光信号的特点及随机共振的检测机理，引入二次采样，使随机共振可以适用于任意频率下的光信号检测。分析影响随机共振系统的参数，提出改进蚁群算法与随机共振相结合的检测方法，根据检测性能动态的调整系统参数，使系统达到最优匹配状态，实现自适应随机共振。为验证方法的有效性，搭建了基于雪崩光电二极管（Avalanche Photodiode，APD）的UOWC实验系统，实验结果表明，在信噪比SNR=

4.559 5 dB时，误码率为5×10

，进一步证明了基于自适应随机共振的水下弱光信号检测可以显著提高UOWC接收机的误码率性能。

Abstract

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 i

s 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

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.

关键词

Keywords

references

ZOU C ， YANG F . Autoencoder based underwater wireless optical communication with high data rate ［J］. Optics Letters ， 2021 ， 46 （ 6 ）： 1446 - 1449 . doi: 10.1364/ol.419833 http://dx.doi.org/10.1364/ol.419833

XU J . Underwater wireless optical communication： why， what， and how？［J］. Chinese Optics Letters ， 2019 ， 17 （ 10 ）： 100007 . doi: 10.3788/col201917.100007 http://dx.doi.org/10.3788/col201917.100007

KAUSHAL H ， KADDOUM G . Underwater optical wireless communication ［J］. IEEE Access ， 2016 ， 4 ： 1518 - 1547 . doi: 10.1109/access.2016.2552538 http://dx.doi.org/10.1109/access.2016.2552538

GHASSEMLOOY Z ， ARNON S ， UYSAL M ， et al . Emerging optical wireless communications-advances and challenges ［J］. IEEE Journal on Selected Areas in Communications ， 2015 ， 33 （ 9 ）： 1738 - 1749 . doi: 10.1109/jsac.2015.2458511 http://dx.doi.org/10.1109/jsac.2015.2458511

曹文熙，孙兆华，李彩，等 . 浮游植物粒级结构的原位测量［J］. 光学精密工程， 2018 ， 26 （ 4 ）： 764 - 770 . doi: 10.3788/OPE.20182604.0764 http://dx.doi.org/10.3788/OPE.20182604.0764

CAO W X ， SUN Z H ， LI C ， et al . In situ measurement of phytoplankton size class ［J］. Opt. Precision Eng. ， 2018 ， 26 （ 4 ）： 764 - 770 . （in Chinese） . doi: 10.3788/OPE.20182604.0764 http://dx.doi.org/10.3788/OPE.20182604.0764

YANG Y ， HE F T ， GUO Q P ， et al . Analysis of underwater wireless optical communication system performance ［J］. Applied Optics ， 2019 ， 58 （ 36 ）： 9808 - 9814 . doi: 10.1364/ao.58.009808 http://dx.doi.org/10.1364/ao.58.009808

SHEN J N ， WANG J L ， CHEN X ， et al . Towards power-efficient long-reach underwater wireless optical communication using a multi-pixel photon counter ［J］. Optics Express ， 2018 ， 26 （ 18 ）： 23565 - 23571 . doi: 10.1364/oe.26.023565 http://dx.doi.org/10.1364/oe.26.023565

WANG J L ， YANG X Q ， LV W C ， et al . Underwater wireless optical communication based on multi-pixel photon counter and OFDM modulation ［J］. Optics Communications ， 2019 ， 451 ： 181 - 185 . doi: 10.1016/j.optcom.2019.06.053 http://dx.doi.org/10.1016/j.optcom.2019.06.053

HU S Q ， MI L ， ZHOU T H ， et al . 35.88 attenuation lengths and 3.32 bits/photon underwater optical wireless communication based on photon-counting receiver with 256-PPM ［J］. Optics Express ， 2018 ， 26 （ 17 ）： 21685 - 21699 . doi: 10.1364/oe.26.021685 http://dx.doi.org/10.1364/oe.26.021685

CHEN X ， YANG X Q ， TONG Z J ， et al . 150 m/500 mbps underwater wireless optical communication enabled by sensitive detection and the combination of receiver-side partial response shaping and TCM technology ［J］. Journal of Lightwave Technology ， 2021 ， 39 （ 14 ）： 4614 - 4621 . doi: 10.1109/jlt.2021.3077086 http://dx.doi.org/10.1109/jlt.2021.3077086

HAO X Y ， YAN X H . Improved high gain circuit and DFE algorithm for underwater photoelectric signal recovery ［J］. Optik ， 2017 ， 148 ： 332 - 341 . doi: 10.1016/j.ijleo.2017.08.145 http://dx.doi.org/10.1016/j.ijleo.2017.08.145

LIU W J ， YANG Y ， MENG L L ， et al . Limited length coding and improved energy detection for underwater photoelectric signal recovery ［J］. Optical Engineering ， 2019 ， 58 ： 053104 . doi: 10.1117/1.oe.58.5.053104 http://dx.doi.org/10.1117/1.oe.58.5.053104

DODDA A ， OBEROI A ， SEBASTIAN A ， et al . Stochastic resonance in MoS 2 photodetector ［J］. Nature Communications ， 2020 ， 11 ： 4406 . doi: 10.1038/s41467-020-18195-0 http://dx.doi.org/10.1038/s41467-020-18195-0

PETERS K J H ， GENG Z ， MALMIR K ， et al . Extremely broadband stochastic resonance of light and enhanced energy harvesting enabled by memory effects in the nonlinear response ［J］. Physical Review Letters ， 2021 ， 126 （ 21 ）： 213901 . doi: 10.1103/physrevlett.126.213901 http://dx.doi.org/10.1103/physrevlett.126.213901

MA L ， FU M ， WANG N ， et al . Simulation of stochastic resonance in underwater laser communication ［C］. OCEANS 2017 - Aberdeen . 1922，2017 ， Aberdeen ， UK . IEEE ， 2017 ： 1 - 5 . doi: 10.1109/oceanse.2017.8084775 http://dx.doi.org/10.1109/oceanse.2017.8084775

FENG Z ， LI S B ， XU Z Y . A novel adaptive stochastic resonance scheme for underwater optical wireless communication ［C］. 2019 11th International Conference on Wireless Communications and Signal Processing （WCSP）. 2325，2019 ， Xi'an， China. IEEE ， 2019 ： 1 - 6 . doi: 10.1109/wcsp.2019.8927867 http://dx.doi.org/10.1109/wcsp.2019.8927867

MOBLEY C D ， GENTILI B ， GORDON H R ， et al . Comparison of numerical models for computing underwater light fields ［J］. Applied Optics ， 1993 ， 32 （ 36 ）： 7484 - 7504 . doi: 10.1364/ao.32.007484 http://dx.doi.org/10.1364/ao.32.007484

HE Q B ， WANG J . Effects of multiscale noise tuning on stochastic resonance for weak signal detection ［J］. Digital Signal Processing ， 2012 ， 22 （ 4 ）： 614 - 621 . doi: 10.1016/j.dsp.2012.02.008 http://dx.doi.org/10.1016/j.dsp.2012.02.008

FAN X Y ， BAI P ， LIANG X L ， et al . Detection algorithm of BPSK signal of parameter-adjusted bistable stochastic resonance model based on scale change ［J］. IEEE Access ， 8 ： 97643 - 97657 . doi: 10.1109/ACCESS.2020.2997705 http://dx.doi.org/10.1109/ACCESS.2020.2997705

JI S Y ， YUAN F ， CHEN K Y ， et al . Application of stochastic resonance technology in underwater acoustic weak signal detection ［C］. OCEANS 2016-Shanghai . 1013，2016 ， Shanghai， China . IEEE ， 2016 ： 1 - 5 . doi: 10.1109/oceansap.2016.7485567 http://dx.doi.org/10.1109/oceansap.2016.7485567

冷永刚，王太勇 . 二次采样用于随机共振从强噪声中提取弱信号的数值研究［J］. 物理学报， 2003 ， 52 （ 10 ）： 2432 - 2437 . doi: 10.3321/j.issn:1000-3290.2003.10.014 http://dx.doi.org/10.3321/j.issn:1000-3290.2003.10.014

LENG Y G ， WANG T Y . Numerical research of twice sampling stochastic resonance for the detection of a weak signal submerged in a heavy Noise ［J］. Acta Physica Sinica ， 2003 ， 52 （ 10 ）： 2432 - 2437 . （in Chinese） . doi: 10.3321/j.issn:1000-3290.2003.10.014 http://dx.doi.org/10.3321/j.issn:1000-3290.2003.10.014

COLORNI A ， DORIGO M ， MANIEZZO V . Distributed Optimization by ant colonies ［J］. Proceedings of the First European Conference on Artificial Life ， 1991 ： 134 - 142 . doi: 10.1007/978-3-642-77489-8_14 http://dx.doi.org/10.1007/978-3-642-77489-8_14

HUANG J W ， ZENG J ， BAI Y F ， et al . Layout optimization of fiber Bragg grating strain sensor network based on modified artificial fish swarm algorithm ［J］. Optical Fiber Technology ， 2021 ， 65 ： 102583 . doi: 10.1016/j.yofte.2021.102583 http://dx.doi.org/10.1016/j.yofte.2021.102583

MA Z Q ， LIU X Y ， GU C J ， et al . Rotating machinery diagnostics based on adaptive Stochastic Resonance ［C］. 2016 Chinese Control and Decision Conference （CCDC）. 2830，2016 ， Yinchuan， China. IEEE ， 2016 ： 7064 - 7069 . doi: 10.1109/ccdc.2016.7532270 http://dx.doi.org/10.1109/ccdc.2016.7532270

Views

1855

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

OPE | Detection of weak light signal in underwater wireless optical communication

Optimal measurement area of articulated coordinate measuring machine calculated by ant colony algorithm

Path planning based on ant colony and genetic fusion algorithm for communication supporting spacecraft

Estimation of gap width of cylinder socket sleeve based on clustering analysis and SVM

Review of Mamba-based methods for remote sensing image super-resolution

Coupling error modeling and correction of angular and translational stages in fiber coupling systems

Related Author

Yi HU

Chao JIANG

Wei HUANG

Peng-hao HU

SUN Zhao-wei1

LIU Xue-kui1

WU Xian-de2

Related Institution

School of Instrument Science and Opto-electronics Engineering, Hefei University of Technology

Research Center of Satellite Technology, Harbin Institute of Technology

College of Aerospace and Civil Engineering, Harbin Engineering University

University of Shanghai for Science and Technology

Shanghai General Motors Corporation Limited

AI问答

Address：No.3888 Dong Nanhu Road, Changchun, Jilin, China Postal code：130033
Tel：0431-86176855 Email：gxjmgc@ciomp.ac.cn
Technical support is provided by Beijing Founder electronics co., LTD 吉ICP备11002662号-17 京公网安备11010802024621
It is recommended to read the content of this site in Chrome&IE9+. Please switch to extreme mode in browser 360.
Cookies We use cookies to help provide and enhance our service and tailor content. By continuing, you agree to the use of cookies.

⁰