电子科技大学学报2025，Vol.54Issue(6)：881-888,8.DOI:10.12178/1001-0548.2024236
基于小波变换与状态空间模型的飞机轨迹预测
Aircraft trajectory prediction based on wavelet transform and state space model
摘要
Abstract
Aircraft trajectory prediction,as one of the important links in air combat maneuvering decision-making,plays a vital role in the air battlefield.To achieve higher accuracy and longer prediction length of aircraft trajectory prediction,this paper proposes a trajectory prediction model WTTr-M(wavelet transfer and transformer-Mamba)based on wavelet transform and state space module.The model considers the frequency domain characteristics of the trajectory and uses wavelet transform to extract the time-frequency characteristics of the target trajectory for learning.Meanwhile,a prediction model based on the state space module is adopted for prediction.Through this module,the long-order trajectory data can be selectively propagated or forgotten,thereby enhancing the model's ability to predict longer trajectories.The experiment is verified by the self-generated battlefield simulation trajectory data and civil aviation trajectory data.The experimental results show that WTTr-M can achieve higher prediction accuracy in longer trajectory prediction tasks than other methods.关键词
飞机轨迹预测/小波变换/状态空间模型/时序预测Key words
aircraft trajectory prediction/wavelet transform/state space model/time series prediction分类
计算机与自动化引用本文复制引用
丛迅超,司旭,路高勇,胡清月,梁菁..基于小波变换与状态空间模型的飞机轨迹预测[J].电子科技大学学报,2025,54(6):881-888,8.基金项目
111计划(B17008) （B17008）
