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首页> 外文期刊>Optics Letters >32 Gb/s chaotic optical communications by deep-learning-based chaos synchronization
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32 Gb/s chaotic optical communications by deep-learning-based chaos synchronization

机译：基于深度学习的混沌同步的32 GB / S混沌光通信

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摘要

Chaotic optical communications were originally proposed to provide high-level physical layer security for optical communications. Limited by the difficulty of chaos synchronization, there has been little experimental demonstration of high-speed chaotic optical communications, and point to multipoint chaotic optical networking is hard to implement. Here, we propose a method to overcome the current limitations. By using a deep-learning-based scheme to learn the complex nonlinear model of the chaotic transmitter, wideband chaos synchronization can be realized in the digital domain. Therefore, the chaotic receiver can be significantly simplified while still guaranteeing security. A successful transmission of 32 Gb/s messages hidden in a wideband chaotic optical carrier was experimentally demonstrated over a 20 km fiber link. We believe the proposed deep-learningbased chaos synchronization method will enable a new direction for further development of high-speed chaotic optical communication systems and networks. (C) 2019 Optical Society of America
机译：最初提出了混沌光通信，为光通信提供高级物理层安全性。通过混沌同步的难度有限，几乎没有高速混沌光通信的实验演示，并指向多点混沌光网络难以实现。在这里，我们提出了一种克服当前限制的方法。通过使用基于深度学习的方案来学习混沌发射机的复杂非线性模型，可以在数字域中实现宽带混沌​​同步。因此，可以在仍然保证安全性同时显着简化混沌接收器。在20公里的光纤链路上通过实验证明隐藏在宽带混沌光学载波中隐藏的32 GB / S消息的成功传输。我们认为，建议的深度学习混乱同步方法将实现高速混沌光通信系统和网络的进一步发展的新方向。 （c）2019年光学学会

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  • 来源
    《Optics Letters》 |2019年第23期|共4页
  • 作者

    Ke Junxiang; Yi Lilin; Yang Zhao; Yang Yunpeng; Zhuge Qunbi; Chen Yaping; Hu Weisheng;

  • 作者单位

    Shanghai Jiao Tong Univ Shanghai Inst Adv Commun &

    Data Sci State Key Lab Adv Opt Commun Syst &

    Networks Shanghai 200240 Peoples R China;

    Shanghai Jiao Tong Univ Shanghai Inst Adv Commun &

    Data Sci State Key Lab Adv Opt Commun Syst &

    Networks Shanghai 200240 Peoples R China;

    Shanghai Jiao Tong Univ Shanghai Inst Adv Commun &

    Data Sci State Key Lab Adv Opt Commun Syst &

    Networks Shanghai 200240 Peoples R China;

    Shanghai Jiao Tong Univ Shanghai Inst Adv Commun &

    Data Sci State Key Lab Adv Opt Commun Syst &

    Networks Shanghai 200240 Peoples R China;

    Shanghai Jiao Tong Univ Shanghai Inst Adv Commun &

    Data Sci State Key Lab Adv Opt Commun Syst &

    Networks Shanghai 200240 Peoples R China;

    Shanghai Jiao Tong Univ Shanghai Inst Adv Commun &

    Data Sci State Key Lab Adv Opt Commun Syst &

    Networks Shanghai 200240 Peoples R China;

    Shanghai Jiao Tong Univ Shanghai Inst Adv Commun &

    Data Sci State Key Lab Adv Opt Commun Syst &

    Networks Shanghai 200240 Peoples R China;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 计量学;光学;
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