UCAV Radar Mode Management Algorithm Based on FDT

The actual requirements of unmanned combat air vehicle(UCAV) airborne radar mode varied in different situations of an air combat.Radar mode management technology can reduce the difficulty of selecting a radar mode for ground commander.In this paper,an airborne radar mode management algorithm based on Fuzzy Decision Tree(FDT) is proposed.By utilizing expert knowledge,FDT learning is processed by using a set of training data including air targets data and mode selecting instances.FDT reasoning is made aiming at classifying a real time air target data.The classification consists of membership values of different modes.An air combat scenario simulation is carried out.The simulation results indicate that the changing membership value of each mode is coincident with the actual requirements of mode management and the algorithm has directive effects on implementing UCAV radar intelligent management.