Airborne Radar Mode Management Algorithm Based on FDT

The effect of airborne radar modes varied in different situations of an air combat. Radar mode management technology can reduce the difficulty for the pilot of selecting an appropriate mode. In this paper, an airborne radar mode management algorithm based on fuzzy decision Tree(FDT) is proposed. FDT learning is processed by using a set of training data including air targets data and selected mode 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 and the algorithm has directive effects on implementing airborne radar intelligent management.