Joint Optimization of Flight Planning and Jamming Resource Allocation in UAV Swarm against Radar Network

This paper proposes a joint optimization algorithm of flight planning and jamming resource allocation in unmanned aerial vehicles (UAV) swarm against radar network. Radar detection probability of the UAV swarm conducting deception jamming is adopted as the performance metric for flight planning and resource allocation strategy. On this basis, a joint optimization model of flight planning and jamming resource allocation in UAV swarm against radar network is established with the objective of minimizing radar detection probability as the optimization goal, and the constraint conditions of flight dynamic, the number of beams and the total power resource. Then, the above optimization model is decomposed into multiple sub problems, and solved sequentially using a combination of particle swarm optimization (PSO) and the interior point method (IPM). Finally, the simulation results show that the proposed algorithm is effective and reliable.