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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Detalhes bibliográficos

Principais autores:	Li Liu, Wenhao Bi, Baichuan Zhang, Zhanjun Huang, An Zhang, Shuangfei Xu
Formato:	Artigo
Idioma:	Inglês
Publicado em:	MDPI AG 2025-07-01
coleção:	Aerospace
Assuntos:	outlier Kalman filter transformer robust aircraft tracking
Acesso em linha:	https://www.mdpi.com/2226-4310/12/8/660
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