One-to-one Close Air Combat Maneuver Decision Method Based On Target Maneuver Intention Prediction

Abstract

In the process of 1v1 close range air combat, the maneuver decision problem of own side Unmanned Combat Air Vehicle (UCAV) confrontation under the condition of dynamic change of target UCAV maneuver intention is proposed, and the air combat target UCAV maneuver intention recognition algorithm based on Bayesian theory is presented. Based on the four posture function factors of angle, distance, speed and altitude of enemy and our UCAVs in the air combat confrontation process, a posture function model of own-sided UCAVs in the close air combat confrontation process is established. The method of adaptive adjustment of posture function weights based on target maneuvering intention is raised; the framework of autonomous decision making of own UCAV maneuvering based on adaptive change of target maneuvering intention in the process of close air combat is constructed. The simulation analysis of 1v1 air combat confrontation at close range was carried out: 1) Simulation in typical scenario test and close combat, and the simulation results fully proved the superiority of the designed maneuver decision method; 2) After adding intention prediction and comparing with the same type of decision method, the simulation results showed that the own UCAV could maintain the superior posture in most of the maneuver decision time, which proved the effectiveness of the method.