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Improved Sparse Channel Estimation for Cooperative Communication Systems
Joint Authors
Source
International Journal of Antennas and Propagation
Issue
Vol. 2012, Issue 2012 (31 Dec. 2012), pp.1-7, 7 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2012-09-03
Country of Publication
Egypt
No. of Pages
7
Main Subjects
Abstract EN
Accurate channel state information (CSI) is necessary at receiver for coherent detection in amplify-and-forward (AF) cooperative communication systems.
To estimate the channel, traditional methods, that is, least squares (LS) and least absolute shrinkage and selection operator (LASSO), are based on assumptions of either dense channel or global sparse channel.
However, LS-based linear method neglects the inherent sparse structure information while LASSO-based sparse channel method cannot take full advantage of the prior information.
Based on the partial sparse assumption of the cooperative channel model, we propose an improved channel estimation method with partial sparse constraint.
At first, by using sparse decomposition theory, channel estimation is formulated as a compressive sensing problem.
Secondly, the cooperative channel is reconstructed by LASSO with partial sparse constraint.
Finally, numerical simulations are carried out to confirm the superiority of proposed methods over global sparse channel estimation methods.
American Psychological Association (APA)
Gui, Guan& Peng, Wei& Wang, Ling. 2012. Improved Sparse Channel Estimation for Cooperative Communication Systems. International Journal of Antennas and Propagation،Vol. 2012, no. 2012, pp.1-7.
https://search.emarefa.net/detail/BIM-474630
Modern Language Association (MLA)
Gui, Guan…[et al.]. Improved Sparse Channel Estimation for Cooperative Communication Systems. International Journal of Antennas and Propagation No. 2012 (2012), pp.1-7.
https://search.emarefa.net/detail/BIM-474630
American Medical Association (AMA)
Gui, Guan& Peng, Wei& Wang, Ling. Improved Sparse Channel Estimation for Cooperative Communication Systems. International Journal of Antennas and Propagation. 2012. Vol. 2012, no. 2012, pp.1-7.
https://search.emarefa.net/detail/BIM-474630
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-474630