Integrated Sensing and Covert Communication Systems in Near-Field Transmission

This paper proposes a near-field integrated sensing and covert communication (ISCC) system, where Alice transmits covertly to Bob, while avoiding detection by Willie. We jointly optimize hybrid digital and analog beamforming and radar waveforms based on an optimization algorithm that combines weighted minimum mean square error and manifold optimization techniques. This approach aims to maximize the covert communication rate while maintaining secure communication. Additionally, we employ the extended Kalman filter to track the adversarial target’s motion in real-time, providing accurate target state predictions that can be used to adaptively adjust the communication and sensing parameters. By addressing covertness constraints including leakage power, the proposed system ensures a low probability of detection while enabling superior system performance. The simulation results demonstrate that the proposed method provides secure communication and reliable target tracking under various conditions, achieving effective communication with Bob even in the presence of detection threats. The results validate the effectiveness of the proposed ISCC system in near-field scenario.