Resource Scheduling for Networked Radar-Enabled UAVs in Targets Tracking Under Jamming

In this paper, an adaptive resource scheduling (ARS) strategy tailored for multiple maneuvering targets tracking (MMTT) task with the consideration of anti-jamming is put forward for the radar-enabled unmanned aerial vehicles (UAVs). More specifically, the developed ARS strategy for radar-enabled UAVs (RUAVs) is framed as a non-convex mathematical optimization problem, where the node-target assignment, route planning and transmit beampattern synthesis are jointly considered for the MMTT task. Hereafter, in order to tackle the established non-convex optimization problem effectively, an efficient partition based three-stage solution technique is developed. Finally, numerical simulation results are provided to demonstrate the effectiveness of the proposed ARS strategy.