Distributed Kalman-Consensus Filtering for Sparse Signal Estimation
Joint Authors
Liu, Yisha
Yu, Haiyang
Wang, Jian
Source
Mathematical Problems in Engineering
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-7, 7 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-03-23
Country of Publication
Egypt
No. of Pages
7
Main Subjects
Abstract EN
A Kalman filtering-based distributed algorithm is proposed to deal with the sparse signal estimation problem.
The pseudomeasurement-embedded Kalman filter is rebuilt in the information form, and an improved parameter selection approach is discussed.
By introducing the pseudomeasurement technology into Kalman-consensus filter, a distributed estimation algorithm is developed to fuse the measurements from different nodes in the network, such that all filters can reach a consensus on the estimate of sparse signals.
Some numerical examples are provided to demonstrate the effectiveness of the proposed approach.
American Psychological Association (APA)
Liu, Yisha& Yu, Haiyang& Wang, Jian. 2014. Distributed Kalman-Consensus Filtering for Sparse Signal Estimation. Mathematical Problems in Engineering،Vol. 2014, no. 2014, pp.1-7.
https://search.emarefa.net/detail/BIM-448723
Modern Language Association (MLA)
Liu, Yisha…[et al.]. Distributed Kalman-Consensus Filtering for Sparse Signal Estimation. Mathematical Problems in Engineering No. 2014 (2014), pp.1-7.
https://search.emarefa.net/detail/BIM-448723
American Medical Association (AMA)
Liu, Yisha& Yu, Haiyang& Wang, Jian. Distributed Kalman-Consensus Filtering for Sparse Signal Estimation. Mathematical Problems in Engineering. 2014. Vol. 2014, no. 2014, pp.1-7.
https://search.emarefa.net/detail/BIM-448723
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-448723