Intelligent reflecting surface-assisted passive covert wireless detection

Document Type

Journal Article

Publication Title

IEEE Transactions on Vehicular Technology




School of Science / Security Research Institute




National Natural Science Foundation of China / Australian Research Council / Hainan Province Science and Technology Special Fund / Scientific Research Fund Project of Hainan University / University Synergy Innovation Program of Anhui Province

Grant Number

ARC Number : DP230100603


Chen, Z., Yan, S., Zhou, X., Shu, F., & Ng, D. W. K. (2023). Intelligent reflecting surface-assisted passive covert wireless detection. IEEE Transactions on Vehicular Technology. Advance online publication.


In this work, we consider an intelligent reflecting surface (IRS)-assisted covert wireless detection system, where a transmitter aims to improve the detection accuracy of its transmission at a legitimate receiver, but avoid this transmission being detected by a warden. Considering Rician fading channels and a bounded noise uncertainty model, the detection performance at the legitimate receiver and warden is thoroughly analyzed. Then, the optimal design of the transmit power and IRS reflection matrix is proposed for maximizing the detection performance at the legitimate transceiver subject to a covertness constraint (i.e., the detection accuracy at the warden is less than a specific tolerable level). Our design is solely based on the line-of-sight (LoS) channel components and thus partially eliminates the need for acquiring the IRS's instantaneous channels, which takes a step towards the practical deployment of IRS. Our examination shows that IRS can still improve the covert detection performance even when only the LoS channel components are known and the improvement increases as the LoS components become more dominant.



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