Improved Sparse Channel Estimation for Cooperative Communication Systems
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...
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| Format: | Article |
| Language: | English |
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Wiley
2012-01-01
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| Series: | International Journal of Antennas and Propagation |
| Online Access: | http://dx.doi.org/10.1155/2012/476509 |
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| author | Guan Gui Wei Peng Ling Wang |
| author_facet | Guan Gui Wei Peng Ling Wang |
| author_sort | Guan Gui |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-74f9a8416b444ca1914af78d425c2f3f |
| institution | Kabale University |
| issn | 1687-5869 1687-5877 |
| language | English |
| publishDate | 2012-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | International Journal of Antennas and Propagation |
| spelling | doaj-art-74f9a8416b444ca1914af78d425c2f3f2025-02-03T06:13:50ZengWileyInternational Journal of Antennas and Propagation1687-58691687-58772012-01-01201210.1155/2012/476509476509Improved Sparse Channel Estimation for Cooperative Communication SystemsGuan Gui0Wei Peng1Ling Wang2Department of Communication Engineering, Graduate School of Engineering, Tohoku University, Sendai 980-8579, JapanDepartment of Communication Engineering, Graduate School of Engineering, Tohoku University, Sendai 980-8579, JapanSchool of Electronic Engineering, University of Electronic Science and Technology of China, Chengdu 610054, ChinaAccurate 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.http://dx.doi.org/10.1155/2012/476509 |
| spellingShingle | Guan Gui Wei Peng Ling Wang Improved Sparse Channel Estimation for Cooperative Communication Systems International Journal of Antennas and Propagation |
| title | Improved Sparse Channel Estimation for Cooperative Communication Systems |
| title_full | Improved Sparse Channel Estimation for Cooperative Communication Systems |
| title_fullStr | Improved Sparse Channel Estimation for Cooperative Communication Systems |
| title_full_unstemmed | Improved Sparse Channel Estimation for Cooperative Communication Systems |
| title_short | Improved Sparse Channel Estimation for Cooperative Communication Systems |
| title_sort | improved sparse channel estimation for cooperative communication systems |
| url | http://dx.doi.org/10.1155/2012/476509 |
| work_keys_str_mv | AT guangui improvedsparsechannelestimationforcooperativecommunicationsystems AT weipeng improvedsparsechannelestimationforcooperativecommunicationsystems AT lingwang improvedsparsechannelestimationforcooperativecommunicationsystems |