UAV real-time path planning using dynamic RCS based on velocity vector field

A real-time planning method based on velocity vector field combined with dynamic radar cross-section (RCS) is proposed for unmanned aerial vehicles (UAV) in unexpected threat environment. Its own UAV attitude angle change will affect the dynamic variation of RCS. Radar detection probability model was presented to involve the distance between radar and UAV and circumferential dynamic RCS, rather than the constant RCS which is not consistent with the actual circumstance. The environment model is established based on the properties of radar. And the driven mechanism of velocity vector field is constructed in order to realize the route planning for UAV. The simulation results show that the method based on velocity vector field is feasible and effective to avoid the detection of radar in UAV real-time path planning.