Computer Science

Computer Science ›› 2024, Vol. 51 ›› Issue (9): 273-282.doi: 10.11896/jsjkx.230700149

• Artificial Intelligence • Previous Articles     Next Articles

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

LI Zhe1, LIU Yiyang1, WANG Ke1,2,3, YANG Jie1, LI Yafei1,2,3, XU Mingliang1,2,3   

  1. 1 School of Computer and Artificial Intelligence,Zhengzhou University,Zhengzhou 450001,China
    2 National Supercomputing Center in Zhengzhou,Zhengzhou 450001,China
    3 Intelligent Swarm System Engineering Research Center of the Ministry of Education,Zhengzhou 450001,China
  • Received:2023-07-20 Revised:2023-11-23 Online:2024-09-15 Published:2024-09-10
  • About author:LI Zhe,born in 1995,Ph.D candidate,is a member of CCF(No.U4062G).Her main research interests include intelligent perception and learning and so on.
    WANG Ke,born in 1985,Ph.D,lectu-rer,master's supervisor,is a member of CCF(No.P5447M).His main research interests include machine learning,deep learning,representation learning and their applications.
  • Supported by:
    This work was supported by theKey Program of the National Natural Science Foundation of China(62036010),Natural Science Foundation of Henan Province,China(232300421235),Innovation Foundation of Ocean Defense Technology Innovation Center of National Defence of Science,Technology and Industry(JJ-2022-709-01),China Postdoctoral Science Foundation(2020M682348) and General Program of the National Natural Science Foundation of China(61972362,62372416).

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Abstract: 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.

Key words: Carrier aircraft landing, Trajectory prediction, Long short-term memory, Autoencoder, Attention mechanism

CLC Number: 

  • TP391
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