State Fusion of Decentralized Optimal Unbiased FIR Filters
Joint Authors
Source
Journal of Electrical and Computer Engineering
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-06-03
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Information Technology and Computer Science
Abstract EN
The paper presents a decentralized fusion strategy based on the optimal unbiased finite impulse response (OUFIR) filter for discrete systems with correlated process and measurement noise.
We extend OUFIR filter to apply in the model with control inputs.
Taking it as local filters, cross covariance between any two is calculated; then it is expressed to the fast iterative form.
Finally based on cross covariance, optimal weights are utilized to fuse local estimates and the overall outcome is obtained.
The numerical examples show that the proposed filter exhibits better robustness against temporary modeling uncertainties than the fusion Kalman filter used commonly.
American Psychological Association (APA)
Fan, Xuefeng& Liu, Fei. 2018. State Fusion of Decentralized Optimal Unbiased FIR Filters. Journal of Electrical and Computer Engineering،Vol. 2018, no. 2018, pp.1-11.
https://search.emarefa.net/detail/BIM-1184363
Modern Language Association (MLA)
Fan, Xuefeng& Liu, Fei. State Fusion of Decentralized Optimal Unbiased FIR Filters. Journal of Electrical and Computer Engineering No. 2018 (2018), pp.1-11.
https://search.emarefa.net/detail/BIM-1184363
American Medical Association (AMA)
Fan, Xuefeng& Liu, Fei. State Fusion of Decentralized Optimal Unbiased FIR Filters. Journal of Electrical and Computer Engineering. 2018. Vol. 2018, no. 2018, pp.1-11.
https://search.emarefa.net/detail/BIM-1184363
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1184363