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A Sparse Signal Reconstruction Algorithm in Wireless Sensor Networks
Joint Authors
Source
Mathematical Problems in Engineering
Issue
Vol. 2016, Issue 2016 (31 Dec. 2016), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2016-06-21
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Abstract EN
We study reconstruction of time-varying sparse signals in a wireless sensor network, where the bandwidth and energy constraints are considered severely.
A novel particle filter algorithm is proposed to deal with the coarsely quantized innovation.
To recover the sparse pattern of estimate by particle filter, we impose the sparsity constraint on the filter estimate by means of two methods.
Simulation results demonstrate that the proposed algorithms provide performance which is comparable to that of the full information (i.e., unquantized) filtering schemes even in the case where only 1 bit is transmitted to the fusion center.
American Psychological Association (APA)
Zhao, Zhi& Feng, Jiuchao. 2016. A Sparse Signal Reconstruction Algorithm in Wireless Sensor Networks. Mathematical Problems in Engineering،Vol. 2016, no. 2016, pp.1-11.
https://search.emarefa.net/detail/BIM-1112864
Modern Language Association (MLA)
Zhao, Zhi& Feng, Jiuchao. A Sparse Signal Reconstruction Algorithm in Wireless Sensor Networks. Mathematical Problems in Engineering No. 2016 (2016), pp.1-11.
https://search.emarefa.net/detail/BIM-1112864
American Medical Association (AMA)
Zhao, Zhi& Feng, Jiuchao. A Sparse Signal Reconstruction Algorithm in Wireless Sensor Networks. Mathematical Problems in Engineering. 2016. Vol. 2016, no. 2016, pp.1-11.
https://search.emarefa.net/detail/BIM-1112864
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1112864