Secure Directional Modulation to Enhance Physical Layer Security in IoT Networks

• DOI: 10.48550/arxiv.1712.02104
• Publication Date: 2017-01-01
• Authors: Feng Shu; Siming Wan; Shihao Yan; Qian Wang; Yongpeng Wu; Riqing Chen; Jun Li; Jinhui Lu
• Keywords: Modulation (music)

In this work, an adaptive and robust null-space projection (AR-NSP) scheme is proposed for secure transmission with artificial noise (AN)-aided directional modulation (DM) in wireless networks. The carried out three steps. Firstly, the directions of arrival (DOAs) signals from desired user eavesdropper are estimated by Root Multiple Signal Classificaiton (Root-MUSIC) algorithm related signal-to-noise ratios (SNRs) based on ratio corresponding eigenvalue to minimum covariance matrix received signals. second step, value intervals DOA estimation errors predicted SNR estimations. Finally, a NSP beamforming DM system designed according afore-obtained estimations predictions. Our examination shows that can significantly outperform conventional non-adaptive non-robust terms achieving much lower bit error rate (BER) at higher secrecy (SR). addition, BER SR performance gains achieved relative other schemes increase range error.