UAV Attack and Defense Optimization Guidance Method Based on Target Trajectory Prediction

Abstract

Aiming at the problems of poor adaptability of the UAV during air combat and unreasonable decision-making mode, an optimal air combat decision-making method based on target trajectory prediction is proposed. Firstly, according to the non-empty air combat situation, different performance index functions are set, and then the target trajectory prediction is used to identify the enemy's intentions. According to the real-time situation analysis results, different performance index functions are selected to perform optimal control solution. Compared with other traditional methods, this method adopts the optimal control algorithm, and each maneuver made by the drone is optimal, which greatly improves the combat capability of the drone.