Abstract: Aiming at the reconfiguration of maneuvering decision-making in air combat, an extraction model of key maneuvering decision-making points is constructed. Based on the actual aircraft flight status data, by introducing the concept of jerkiness degree in physics, four indexes of pitching Angle, yaw Angle, roll Angle and speed jerkiness, are selected to construct evaluation index system of key maneuvering decision point. By using the theory of information entropy , the relevant indexes are reduced and the comprehensive evaluation value are obtained. Then maneuvering area is divided according to time domain, the decision points are extracted, and maneuvering decision-making refactoring is reconstructed. The method is verified by the objective data recorded in the air combat training, and the simulation results show that the reconstruction results of the maneuvering decision points obtained by the method are consistent with the actual air combat situation, and the model is effective and has certain practical value.

Key words: Degree of jerkiness, Information Entropy, Air combat maneuvering decision, High-order reconstruction