Paper Info
Title
Artificial-Noise-Aided Secure Transmission for Proximal Legitimate User and Eavesdropper Based on Frequency Diverse Arrays.
Abstract
In this paper, we aim to address the physical layer security problem for proximal legitimate user (LU) and eavesdropper (Eve) in the case of close-located LU and Eve, where conventional directional modulation (DM) methods may fail to provide efficient secure performance. In order to handle this problem, an optimal frequency offsets of frequency diverse array-based DM with artificial noise (AN) scheme is proposed. We maximize the secrecy capacity by optimizing the frequency offsets and designing AN projection matrix. The optimization problem of the frequency offsets is solved by a block successive upper-bound minimization method to iteratively obtain stationary convergence solutions. By elaborately calculating frequency offsets across array antennas, we can decouple the angle-range correlation and maximize recreational secrecy capacity, resulting in the improvement of the security performance of wireless communications. Numerical results show that the proposed method can provide a higher secrecy capacity than conventional DM schemes with the changes of bandwidth, power allocation factor, and power for the case of proximal LU and Eve. In addition, the proposed scheme is suitable for the case of multi-Eves.
Year
DOI
Venue
2018
10.1109/ACCESS.2018.2869529
IEEE ACCESS
Keywords
Field
DocType
Directional modulation (DM),frequency diverse array (FDA),physical layer security,artificial noise (AN)
Diversity scheme,Wireless,Secure transmission,Computer science,Electronic engineering,Bandwidth (signal processing),Physical layer,Artificial noise,Frequency modulation,Optimization problem,Distributed computing
Journal
Volume
ISSN
Citations 
6
2169-3536
0
PageRank 
References 
Authors
0.34
0
4
Name
Order
Citations
PageRank
Bin Qiu142.45
Jian Xie2318.39
Ling Wang3146.76
Yuexian Wang4157.46