A Novel Outlier-Robust Kalman Filtering Framework Based on Statistical Similarity Measure
Download
Download
DownloadPreview
Ep44679.pdf
- Published Version
(953kB)
| Preview
Available under license: Creative Commons Attribution
Export
Huang, Yulong 
ORCID: 0000-0001-9303-9083, Zhang, Yonggang ORCID: 0000-0003-4548-1111, Zhao, Yuxin ORCID: 0000-0003-1921-4714, Shi, Peng ORCID: 0000-0001-8218-586X and Chambers, Jonathon ORCID: 0000-0002-5820-6509
(2021)
A Novel Outlier-Robust Kalman Filtering Framework Based on Statistical Similarity Measure.
IEEE Transactions on Automatic Control, 66 (6).
pp. 2677-2692.
ISSN 0018-9286
Dimensions Badge
Altmetric Badge
| Item type | Article |
| URI | https://vuir.vu.edu.au/id/eprint/44679 |
| DOI | 10.1109/TAC.2020.3011443 |
| Official URL | https://ieeexplore.ieee.org/document/9146725 |
| Subjects | Current > FOR (2020) Classification > 4007 Control engineering, mechatronics and robotics Current > Division/Research > College of Science and Engineering |
| Keywords | Heavy-tailed noise; Kalman filter, outliers; statistical similarity measure; separate iterative algorithm |
| Citations in Scopus | 42 - View on Scopus |
| Download/View statistics | View download statistics for this item |
CORE (COnnecting REpositories)