Joint Trajectory and Fluid Antenna Design for Secure UAV-Enabled ISAC

Abstract

This letter investigates a secure UAV-enabled integrated sensing and communication (ISAC) system, where fluid antennas (FAs) are exploited to reconfigure the spatial response of the aerial transmitter. A joint optimization problem is formulated to maximize the average weighted sensing gain (AWSG) by jointly optimizing the UAV trajectory, FA positions, transmit beamforming, and target selection. To tackle the resulting mixed-integer non-convex problem, an alternating optimization (AO) algorithm is developed using semidefinite relaxation (SDR), successive convex approximation (SCA), and Taylor expansion. Simulation results illustrate the numerical convergence and performance gains of the proposed design.