Kalman filtering with finite-step autocorrelated measurement noise
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Liu, Wei 
ORCID: https://orcid.org/0000-0001-7116-510X, Shi, Peng ORCID: https://orcid.org/0000-0001-8218-586X and Zhang, Huiyan ORCID: https://orcid.org/0000-0003-3406-8954
(2022)
Kalman filtering with finite-step autocorrelated measurement noise.
Journal of Computational and Applied Mathematics, 408.
ISSN 0377-0427
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| Item type | Article |
| URI | https://vu-9.eprints-hosting.org/id/eprint/46647 |
| DOI | 10.1016/j.cam.2022.114138 |
| Official URL | https://www.sciencedirect.com/science/article/abs/... |
| Subjects | Current > FOR (2020) Classification > 4602 Artificial intelligence Current > Division/Research > Institute for Sustainable Industries and Liveable Cities |
| Keywords | Kalman filtering, discrete time linear systems, convergence behaviour |
| Download/View statistics | View download statistics for this item |
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