Robust Recursive Algorithm under Uncertainties via Worst-Case SINR Maximization
The performance of traditional constrained-LMS (CLMS) algorithm is known to degrade seriously in the presence of small training data size and mismatches between the assumed array response and the true array response. In this paper, we develop a robust constrained-LMS (RCLMS) algorithm based on worst...
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| Format: | Article |
| Language: | English |
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Wiley
2015-01-01
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| Series: | Journal of Electrical and Computer Engineering |
| Online Access: | http://dx.doi.org/10.1155/2015/458521 |
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| author | Xin Song Feng Wang Jinkuan Wang Jingguo Ren |
| author_facet | Xin Song Feng Wang Jinkuan Wang Jingguo Ren |
| author_sort | Xin Song |
| collection | DOAJ |
| description | The performance of traditional constrained-LMS (CLMS) algorithm is known to degrade seriously in the presence of small training data size and mismatches between the assumed array response and the true array response. In this paper, we develop a robust constrained-LMS (RCLMS) algorithm based on worst-case SINR maximization. Our algorithm belongs to the class of diagonal loading techniques, in which the diagonal loading factor is obtained in a simple form and it decreases the computation cost. The updated weight vector is derived by the descent gradient method and Lagrange multiplier method. It demonstrates that our proposed recursive algorithm provides excellent robustness against signal steering vector mismatches and the small training data size and, has fast convergence rate, and makes the mean output array signal-to-interference-plus-noise ratio (SINR) consistently close to the optimal one. Some simulation results are presented to compare the performance of our robust algorithm with the traditional CLMS algorithm. |
| format | Article |
| id | doaj-art-3c59050dd3bb476eb49befe076454091 |
| institution | Kabale University |
| issn | 2090-0147 2090-0155 |
| language | English |
| publishDate | 2015-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Journal of Electrical and Computer Engineering |
| spelling | doaj-art-3c59050dd3bb476eb49befe0764540912025-08-20T03:55:37ZengWileyJournal of Electrical and Computer Engineering2090-01472090-01552015-01-01201510.1155/2015/458521458521Robust Recursive Algorithm under Uncertainties via Worst-Case SINR MaximizationXin Song0Feng Wang1Jinkuan Wang2Jingguo Ren3Engineering Optimization and Smart Antenna Institute, Northeastern University at Qinhuangdao, Qinhuangdao 066004, ChinaState Grid Ningxia Information & Communication Company, Great Wall East Road, No. 277, Xingqing District, Ningxia 750000, ChinaEngineering Optimization and Smart Antenna Institute, Northeastern University at Qinhuangdao, Qinhuangdao 066004, ChinaEngineering Optimization and Smart Antenna Institute, Northeastern University at Qinhuangdao, Qinhuangdao 066004, ChinaThe performance of traditional constrained-LMS (CLMS) algorithm is known to degrade seriously in the presence of small training data size and mismatches between the assumed array response and the true array response. In this paper, we develop a robust constrained-LMS (RCLMS) algorithm based on worst-case SINR maximization. Our algorithm belongs to the class of diagonal loading techniques, in which the diagonal loading factor is obtained in a simple form and it decreases the computation cost. The updated weight vector is derived by the descent gradient method and Lagrange multiplier method. It demonstrates that our proposed recursive algorithm provides excellent robustness against signal steering vector mismatches and the small training data size and, has fast convergence rate, and makes the mean output array signal-to-interference-plus-noise ratio (SINR) consistently close to the optimal one. Some simulation results are presented to compare the performance of our robust algorithm with the traditional CLMS algorithm.http://dx.doi.org/10.1155/2015/458521 |
| spellingShingle | Xin Song Feng Wang Jinkuan Wang Jingguo Ren Robust Recursive Algorithm under Uncertainties via Worst-Case SINR Maximization Journal of Electrical and Computer Engineering |
| title | Robust Recursive Algorithm under Uncertainties via Worst-Case SINR Maximization |
| title_full | Robust Recursive Algorithm under Uncertainties via Worst-Case SINR Maximization |
| title_fullStr | Robust Recursive Algorithm under Uncertainties via Worst-Case SINR Maximization |
| title_full_unstemmed | Robust Recursive Algorithm under Uncertainties via Worst-Case SINR Maximization |
| title_short | Robust Recursive Algorithm under Uncertainties via Worst-Case SINR Maximization |
| title_sort | robust recursive algorithm under uncertainties via worst case sinr maximization |
| url | http://dx.doi.org/10.1155/2015/458521 |
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