Research on aircraft motion behavior recognition model based on neural network
Shuang Liu, Huanxi Liu, Zhenyu Jiang · 2025
Non-cooperative aircraft means that the detected target aircraft has the characteristics of no identification, no response, and unknown shape size, so it is difficult to measure its relative attitude, and there are many kinds of aircraft. The flight trajectory scheme and maneuver strategy are complex and unknown, the specific performance parameters of the aircraft are unknown, and the measurement information obtained is limited. Due to the limited observation information, it is difficult for us to quickly and accurately predict its future trajectory, so the difficulty of early warning and interception is greatly increased. To solve the problem that it is difficult to predict the trajectory of non-cooperative aircraft, the feature model of non-cooperative aircraft and the classification model of behavior pattern recognition are established. The simulation experiment of maneuver pattern recognition classification is carried out to generate the behavior feature data set. Provide reasonable and sufficient training samples for the neural network.