Fluid Antennas Enabled Integrated Sensing and Communication

This paper studies integrated sensing and communication (ISAC) enabled by fluid antennas (FAs), proposing an optimization method to minimize the Cramér-Rao bound (CRB) while ensuring the signal-to-interference-plus-noise ratio (SINR) requirements of communication users, thereby enhancing target estimation accuracy. To solve this problem, we propose an alternate optimization (AO) framework. Specifically, we decompose it into two subproblems. By iteratively solving these two subproblems until convergence, we obtain a locally optimal solution for the original problem. Numerical results show that our proposed design achieves improved beampattern gains compared with benchmarks.