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...
| 發表在: | Aerospace |
|---|---|
| Main Authors: | , , , , , |
| 格式: | Article |
| 語言: | 英语 |
| 出版: |
MDPI AG
2025-07-01
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| 主題: | |
| 在線閱讀: | https://www.mdpi.com/2226-4310/12/8/660 |
