Flight Trajectory Prediction Based on Automatic Dependent Surveillance-Broadcast Data Fusion with Interacting Multiple Model and Informer Framework

Flight Trajectory Prediction Based on Automatic Dependent Surveillance-Broadcast Data Fusion with Interacting Multiple Model and Informer Framework

Aircraft trajectory prediction is challenging because of the flight process with uncertain kinematic motion and varying dynamics, which is characterized by intricate temporal dependencies of the flight surveillance data. To address these challenges, this study proposes a novel hybrid prediction fram...

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Bibliographic Details
Main Authors: Fan Li, Xuezhi Xu, Rihan Wang, Mingyuan Ma, Zijing Dong
Format: Article
Language:English
Published: MDPI AG 2025-04-01
Series:Sensors
Subjects:
flight trajectory
ADS-B data
hybrid prediction
interacting multiple model
Informer
Online Access:https://www.mdpi.com/1424-8220/25/8/2531
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