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Aimed at aerospace hypersonic vehicles (AHV) with the characteristics of high velocity, maneuverability, Radar Cross-section (RCS) weak, the single sensor is difficult to effectively track, therefore proposed multi-sensor collaborative workflow, construct cooperative tracking mission planning framework based on multi-agent system (MAS), and then multi-sensor cooperative optimization model is established. Proposed collaborative tracking mission planning algorithm based on Self-adaptive clonal genetic algorithm (SCGA). Simulation results validate the model, algorithm to establish is rationality and superiority. KeywordsAerospace hypersonic vehicles; multi-sensors; cooperative tracking; mission planning; self-adapting clonal genetic algorithms

Research on Multi-sensor Cooperative Tracking Mission Planning of Aerospace Hypersonic Vehicles