Trajectory programming for electronic combat air vehicles under complex three-dimensional space

The purpose is to build a more realistic phantom track deception scenario under complex Three-dimensional space. Since the cooperation between Electronic Combat Air Vehicles (ECAVs) are demanding, the optimal control methods are usually simplified for solving the trajectory programming problem, including the constraints, the natural influence, and the error factors and so on. The phantom track generated in this case is an ideal one, which can not reflect the true environment. We take everything into account when building dynamic models for both ECAV and the phantom. Meanwhile, error factors from information security and ECAV positioning are explored. For the trajectory programming, we convert the optimal control problem into a parameter optimization one. Error items are added to the optimized phantom track in certain forms. Simulation results show that the new phantom track appears to be fragmented, but it just meets the actual circs.