Beamforming Optimization for UAV-Enable ISAC Systems under Malicious Jamming Attack

In this paper, a beamforming optimization framework is proposed for unmanned aerial vehicle (UAV)-enabled integrated sensing and communication (ISAC) systems under malicious jamming attack. Aiming at maximizing the users’ minimum transmission rate while guaranteeing the sensing signal-to-interference-plus-noise ratio (SINR), the optimization problem of transmit beamforming is established. To solve it, firstly, the optimization problem is decomposed into a communication beamforming sub-problem and a sensing beamforming sub-problem by using the alternating optimization method, respectively. Secondly, the communication and sensing beamforming vectors are obtained via fractional programming and successive convex approximation techniques. Simulation results show that the proposed scheme can improve the communication and sensing capability of UAV-enabled ISAC systems under malicious jamming attack.