Research on BSS in Artificial Noise aided secure communication
Xinxin Li, Cai Xiaoxia, Wei Dong · 2016
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.