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基于神经网络同步的全光混沌通信
Authors
义理林
杨云朋
柯俊翔
Publication date
1 January 2019
Publisher
《光通信研究》编辑部
Doi
Cite
Abstract
全光混沌由于产生结构简单和混沌复杂度高等特点,在混沌保密通信中起着重要的作用。由于全光混沌需要发射端与接收端激光器参数几乎完全一致才可达到很好的同步效果,一直没有在保密通信方向取得很好的应用。文章提出了一种利用神经网络对激光器进行建模同步的方法,在发射端利用大量已知混沌信号和混沌加密信号对神经网络进行训练,得到一个与发射端激光器结构相似的神经网络模型,在接收端利用此神经网络模型对加密信息进行解密,并通过实验成功对5 Gbit/s信号进行了混沌加密和解密。此方法大大降低了全光混沌同步的复杂度,并为点到多点全光混沌通信提供了可能
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Last time updated on 26/01/2023