Abstract:

To keep a continuous and steady tracking of aerospace high-speed vehicles, a cooperative tracking framework based on the multi-agent system (MAS) for highspeed aerospace vehicles is analyzed, then a multi-sensor cooperative dispatch optimization model is established. In addition, a self-adaptive clonal genetic algorithm (SCGA) is used to conduct the cooperative tracking. Simulation results validate the rationality superiority of the model and the algorithm proposed, which lays a solid technique foundation for designing the detection and early-warning system of high-speed aerospace vehicles.