A New Method of 3D Low_Observable Trajectory Optimization in Presence of Multiple Radars

摘要

In this paper, we focus on the new method of finding an optimal aircraft trajectory to minimize the probability of detection by opponent radar detection systems and the total flight time. Three dimension (3D) aircraft and detection model is established first And then, support vector regression (SV'R) method, which obtains good generalization on a limited number of learning patterns, is considered to fit the disordered data of detection model. Both trajectory constraints and boundary conditions are attained with high accuracy using Gauss pseudospectral method (GPM). Simulation results demonstrate the feasibility of the proposed method in trajectories optimization in presence of multiple radars for both detectability and flight time.