Optimization of evasive trajectories for radar threats avoidance

The problem of optimal evasive trajectories of tactical missiles for radar threats avoidance was examined. Calculus of Variations was introduced to deal with the flight constraints and an analytic solution for monostatic radar avoidance was obtained. Based on the analytic solution, the concept of solution space was proposed and the Bayesian Decision Theory Combined Dynamic Programming Algorithm was adopted to get the global optimal solution to problem of multiple radars avoidance. Optimal evasive trajectories in various radar distributions were provided thru simulation and the effectiveness of the method to cover the flight constraints was verified.