人工噪声辅助保密通信中的BSS研究

Li Xinxin, Cai Xiaoxia, Dong Wei
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引用次数: 0

摘要

无线信道的广播性质导致了物理层安全技术的发展和应用。提出了利用人工噪声辅助技术干扰窃听者进行保密通信的方法。针对这种情况,提出了一种基于盲源分离算法的特征矩阵联合近似对角化(JADE)抑制方法。窃听者能够分离通信信号和噪声。仿真结果表明,该方法在一定情况下是可行的,有助于窃听者有效地挫败AN辅助保密通信。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Research on BSS in Artificial Noise aided secure communication
The broadcast nature of wireless channels leads to the developments and applications of physical layer security techniques. The Artificial Noise (AN) aided technique is proposed to interfere with the eavesdropper for secure communications. A suppression method called Joint Approximate Diagonalization of Eigen-matrices (JADE), which is based on blind source separation algorithm (BSS), is presented under this circumstance. The eavesdropper is able to separate the communication signal and the noise. Simulation results demonstrate that the proposed method is feasible under certain circumstances, which helps the eavesdropper to defeat the AN aided secure communications effectively.
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