Search

This letter focuses on the physical layer security of dual-functional radar-communication (DFRC) systems and proposes a novel non-orthogonal multiple-access (NOMA)-based secure transmission beamforming method. The proposed method prevents eavesdropping by concealing the confidential information of the legitimate users in the radar beam, and the legitimate users can remove the interference by successive interference cancellation (SIC). We formulate the problem as a non-convex optimization problem and then decompose it into two sub-problems, where the first sub-problem enjoys a closed-form solution, and the other is solved iteratively. Numerical results verify the effectiveness of our method. [ABSTRACT FROM AUTHOR]

This article studies the transmit beamforming security in the dual-functional radar-communication (DFRC) system, where the radar beam also serves as the artificial jamming to suppress potential eavesdropper channels. Unlike previous researches, which assumed that the lone target might be a potential eavesdropper on the adversary side, this paper analyses a more generic scenario in which the eavesdroppers’ channel state information (CSI) is unknown. The eavesdropping rate should be limited to guarantee transmission confidentiality, which is intractable owing to the unknown CSI. To address this issue, we present the long-term eavesdropping signal-to-interference-plus-noise ratio (SINR) as a more tractable security metric. Based on the long-term eavesdropping SINR, the sum rate maximization (SRM) and jamming power maximization (JPM) transmission scheme are investigated. For the SRM scheme, we propose a zero-forcing (ZF) suboptimal algorithm to solve the non-convex fractional programming (FP) problem, and for the JPM scheme, the resultant problem is solved via the semidefinite relaxation (SDR) technique. Finally, numerical results validate the effectiveness of the proposed beamforming approaches. [ABSTRACT FROM AUTHOR]