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Reference-Free Artificial Noise Waveform Design and Cancellation for Secure Transmission.

Authors :
Guo, Wenbo
Lin, Lang
Zhao, Hongzhi
Shao, Shihai
Tang, Youxi
Source :
IEEE Transactions on Vehicular Technology. Sep2022, Vol. 71 Issue 9, p10149-10154. 6p.
Publication Year :
2022

Abstract

In this paper, we propose a reference-free artificial noise (AN) waveform design and cancellation scheme for single-input-single-output (SISO) wireless secure transmission. First, a system structure with the aid of AN is presented, where we provide a specific method extracting the sign information of each symbol from the desired signal (DS) to form AN at the transmitter. Then, we notice that the legitimate receiver enable to reconstruct the AN from the received signal by almost the same method as the transmitter without AN reference, which reduces the system complexity in practice. Subsequently, the AN cancellation performance and the secrecy capacity at the receiver are analyzed, and their upper bounds are also derived. Finally, simulation results confirm that the proposed reference-free AN design and cancellation scheme can effectively suppress the AN at legitimate receiver, while degrades the signal to noise ratio (SNR) at eavesdropper seriously, which provides impressive secure performance in terms of secrecy capacity. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
00189545
Volume :
71
Issue :
9
Database :
Academic Search Index
Journal :
IEEE Transactions on Vehicular Technology
Publication Type :
Academic Journal
Accession number :
159211002
Full Text :
https://doi.org/10.1109/TVT.2022.3178884