面向Massive MIMO通感一体化的低轨卫星隐蔽通信技术OA

Low Earth Orbit(LEO)satellite systems offer advantages such as wide coverage and massive connectiv-ity,yet they also face security risks including eavesdropping and interference.This paper investigates a covert com-munication technique for LEO satellites based on Integrated Sensing and Communication(ISAC)with Massive Mul-tiple Input Multiple Output(Massive MIMO),constructs a system model for Massive MIMO LEO satellite ISAC sys-tem,and derives the covertness constraints for the system.Building upon this foundation,two schemes are proposed tailored to scenarios where Eve's Channel State Information(CSI)is either imperfectly known or completely un-known.The radar-based scheme formulates a joint optimization problem aiming to maximize the sum covert communi-cation rate across multiple users Bob,subject to constraints on minimum radar sensing performance,covertness re-quirements,and upper limits on transmit power for both the satellite and radar.To address this non-convex optimiza-tion problem,this paper designs an alternating optimization framework combined with the Minorization-Maximization(MM)algorithm for iterative solution.Simulation results demonstrate that,when the radar transmit power is 80 W,the proposed radar-based scheme achieves approximately an 80%improvement in sum covert communication rate com-pared to a baseline scheme.Compared with conventional LEO covert communication systems without ISAC capabili-ties,the radar-based scheme leverages radar signals to generate beneficial interference against Eves,thereby simul-taneously enhancing both the covert rate and communication covertness.Additionally,under the premise that radar sensing performance meets its minimum requirement,the Artificial Noise(AN)scheme utilizes surplus transmit power to generate AN that disrupts potential Eves,further improving both the covert rate and communication covertness.