Please use this identifier to cite or link to this item: https://hdl.handle.net/2440/135574
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Type: Journal article
Title: Kalman filtering with finite-step autocorrelated measurement noise
Author: Liu, W.
Shi, P.
Zhang, H.
Citation: Journal of Computational and Applied Mathematics, 2022; 408:114138-1-114138-19
Publisher: Elsevier BV
Issue Date: 2022
ISSN: 0377-0427
1879-1778
Statement of
Responsibility: 
Wei Liu, Peng Shi, Huiyan Zhang
Abstract: Abstract not available
Keywords: Kalman filtering; Discrete-time; Linear systems; Finite-step autocorrelated; Convergence
Rights: © 2022 Elsevier B.V. All rights reserved.
DOI: 10.1016/j.cam.2022.114138
Grant ID: http://purl.org/au-research/grants/arc/DP170102644
Published version: http://dx.doi.org/10.1016/j.cam.2022.114138
Appears in Collections:Mathematical Sciences publications

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