太赫兹科学与电子信息学报2024，Vol.22Issue(1)：39-45,7.DOI:10.11805/TKYDA2021410
信道估计误差下的深度人工噪声预编码生成方法
Deep artificial noise precoding generation method considering channel estimation error
宋晓岩 1刘友江 1徐慧远 1霍飞向1
作者信息
- 1. 中国工程物理研究院 电子工程研究所,四川 绵阳 621999
- 折叠
摘要
Abstract
For the physical layer security communication system based on artificial noise,traditional artificial noise is usually generated by using closed-form expressions derived from derivation or numerical optimization methods which both require accurate channel state information matrix to guarantee the secrecy of the communication system.However,the channel estimation error in the real scenarios causes the artificial noise precoding error to reduce the security capacity of the communication system.For this reason,this paper proposes an artificial noise precoding generation method based on deep learning.By taking the channel estimation information with estimation error as input and fitting it with the precoding matrix obtained by traditional numerical solution generated by perfect channel estimation,a well-trained deep neural network that can adapt to the channel estimation error is obtained.Simulation shows that the security performance and robustness of this method when there are errors in channel estimation are better than traditional artificial noise generation systems.Compared with other deep learning methods for physical layer security,the method proposed in this paper has faster convergence speed.关键词
人工噪声/深度学习/物理层安全/预编码Key words
artificial noise/deep learning/physical layer security/precoding分类
信息技术与安全科学引用本文复制引用
宋晓岩,刘友江,徐慧远,霍飞向..信道估计误差下的深度人工噪声预编码生成方法[J].太赫兹科学与电子信息学报,2024,22(1):39-45,7.
