An iterative JBRD algorithm using alternating optimization, quadratic penalty, and successive convex approximation is developed to maximize secrecy rate in RIS-aided ISAC systems with cooperating eavesdroppers under sensing and power constraints.
Yao, et al., Hybrid RIS-enhanced ISAC secure systems: Joint opti- mization in the presence of an extended target,IEEE Transactions on Communications, vol
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Secure Beamforming and Reflection Design for RIS-ISAC Systems Under Collusion of Passive and Active Eavesdroppers
An iterative JBRD algorithm using alternating optimization, quadratic penalty, and successive convex approximation is developed to maximize secrecy rate in RIS-aided ISAC systems with cooperating eavesdroppers under sensing and power constraints.