基于OFDM-ISAC的无人机-无人船协同巡检系统设计OA

To address the challenge of limited energy restricting unmanned aerial vehicles(UAVs)from executing prolonged inspection tasks in complex maritime environments,this paper proposes a collaborative UAV-unmanned surface vehicle(USV)maritime inspection system based on integrated sensing and communications(ISAC)technology.To enhance the sensing accuracy of maritime targets,a fairness-oriented model is formulated with the goal of maximizing the minimum sensing mutual information among the targets.Given the non-convex nature of this optimization problem,an alternating optimization algorithm is proposed,where the original problem is decoupled into two subproblems:joint UAV-USV trajectory design and orthogonal frequency division multiplexing(OFDM)subcarrier allocation.These subproblems are solved iteratively to obtain a suboptimal solution.To address these subproblems,the successive convex approximation(SCA)technique is adopted to solve the trajectory optimization problem and a suboptimal subchannel allocation algorithm is proposed to address the OFDM subcarrier allocation.Simulation results demonstrate that the fairness-oriented scheme achieves balanced target sensing performance,thereby guaranteeing the minimum performance among all inspected targets.