TORKF: A Dual-Driven Kalman Filter for Outlier-Robust State Estimation and Application to Aircraft Tracking

This study addresses the limitations of conventional filtering methods in handling irregular outliers and missing observations, which can compromise filter robustness and accuracy. We propose the Transformer-based Outlier-Robust Kalman Filter (TORKF), a hybrid data and knowledge hybrid-driven framew...

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Bibliografski detalji

Glavni autori:	Li Liu, Wenhao Bi, Baichuan Zhang, Zhanjun Huang, An Zhang, Shuangfei Xu
Format:	Artigo
Jezik:	Inglês
Izdano:	MDPI AG 2025-07-01
Serija:	Aerospace
Teme:	outlier Kalman filter transformer robust aircraft tracking
Online pristup:	https://www.mdpi.com/2226-4310/12/8/660
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