Real-time Prediction Model of Carrier Aircraft Landing Trajectory Based on Stagewise Autoencoders and Attention Mechanism

During the landing process of an aircraft carrier,the carrier aircraft should fly along a relatively fixed trajectory to ensure that the touch point is located in the area where the stern arresting system is located.Therefore,the carrier aircraft trajectory is one of the important basis for the landing signal officer(LSO) to make decisions.The real-time prediction of carrier aircraft trajectory is helpful for the LSO to judge the situation of aircraft carrier landing operation and then form correct guidance instructions in time.Therefore,this paper proposes a real-time prediction of carrier aircraft landing trajectory based on stagewise auto-encoders and attention mechanism.In the first stage,a denoising autoencoder is used to extract features from historical trajectory data;in the second stage,a timeseries autoencoder is constructed based on a long short-term memory(LSTM),and at the same time,the attention mechanism is introduced to assign different weights to the encoder output at different times,and adaptively learns its influence on the final prediction result.The proposed model is compared with six baseline models through simulation experiments,and the results show that the comprehensive performance of the proposed model is better than that of the baseline model,which can meet the application requirements of real-time and accurate prediction of the landing trajectory.