Intelligent Reflecting Surface Aided Covert Transmission Scheme with Integrated Sensing and Communication
Qingzhuan Lin, Jinsong Hu, Shihao Yan, Xiaobo Zhou, Youjia Chen, Feng Shu
Abstract
This work proposes a covert transmission scheme for integrated sensing and communication (ISAC) scenario, where the radar with the aid of an intelligent reflecting surface (IRS) is employed to achieve covert communication and target detection simultaneously. Specifically, we jointly design the transmit beamforming vector of radar and the phase shifts of the IRS to maximize the covert rate subject to a covertness constraint, a total power constraint, and a detection mutual information constraint. To solve the non-convex optimization problem, we resort to alternating optimization and the semidefinite relaxation method. Numerical results illustrate the effectiveness of the covert transmission system aided by the IRS and demonstrate the performance trade-off between radar detection and covert communication.