STAR-RIS-Enabled Anti-Jamming Design for Secure Integrated Sensing and Communication Systems

In this work, an integrated sensing and communication (ISAC) framework with presence of jammer, which enabled by a simultaneously transmitting and reflecting reconfigurable intelligent surfaces (STAR-RIS) is proposed. The jammer exists in the reflective region and interferes communications, which is considered as an extended target. Then, the Cramér-Rae bound (CRB) for estimating the jammer's response matrix is derived. To maximize the achievable rate (AR) of the transmission user, we jointly optimize the active and passive beamforming, while satis-fying the reflection users' AR constraints, the transmission power budget, the CRB for target estimation constraint and the STAR-RIS coefficient matrices constraints. Based on the alternating optimization and successive convex approximation algorithms, the original problem is decomposed into two subproblems, and each subproblem is solved by using fractional programming (FP) and semidefinite relaxation (SDR) theorem. The simulation results verify the feasibility of the algorithm.