High Performance Robust Adaptive Beamforming in the Presence of Array Imperfections
A high performance robust beamforming scheme is proposed to combat model mismatch. Our method lies in the novel construction of interference-plus-noise (IPN) covariance matrix. The IPN covariance matrix consists of two parts. The first part is obtained by utilizing the Capon spectrum estimator integ...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2016-01-01
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| Series: | International Journal of Antennas and Propagation |
| Online Access: | http://dx.doi.org/10.1155/2016/3743509 |
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| _version_ | 1849686598978895872 |
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| author | Wenxing Li Xiaojun Mao Zhuqun Zhai Yingsong Li |
| author_facet | Wenxing Li Xiaojun Mao Zhuqun Zhai Yingsong Li |
| author_sort | Wenxing Li |
| collection | DOAJ |
| description | A high performance robust beamforming scheme is proposed to combat model mismatch. Our method lies in the novel construction of interference-plus-noise (IPN) covariance matrix. The IPN covariance matrix consists of two parts. The first part is obtained by utilizing the Capon spectrum estimator integrated over a region separated from the direction of the desired signal and the second part is acquired by removing the desired signal component from the sample covariance matrix. Then a weighted summation of these two parts is utilized to reconstruct the IPN matrix. Moreover, a steering vector estimation method based on orthogonal constraint is also proposed. In this method, the presumed steering vector is corrected via orthogonal constraint under the condition where the estimation does not converge to any of the interference steering vectors. To further improve the proposed method in low signal-to-noise ratio (SNR), a hybrid method is proposed by incorporating the diagonal loading method into the IPN matrix reconstruction. Finally, various simulations are performed to demonstrate that the proposed beamformer provides strong robustness against a variety of array mismatches. The output signal-to-interference-plus-noise ratio (SINR) improvement of the beamformer due to the proposed method is significant. |
| format | Article |
| id | doaj-art-c02e600dad6745f6990e0d7e9e114d9e |
| institution | DOAJ |
| issn | 1687-5869 1687-5877 |
| language | English |
| publishDate | 2016-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | International Journal of Antennas and Propagation |
| spelling | doaj-art-c02e600dad6745f6990e0d7e9e114d9e2025-08-20T03:22:39ZengWileyInternational Journal of Antennas and Propagation1687-58691687-58772016-01-01201610.1155/2016/37435093743509High Performance Robust Adaptive Beamforming in the Presence of Array ImperfectionsWenxing Li0Xiaojun Mao1Zhuqun Zhai2Yingsong Li3College of Information and Communications Engineering, Harbin Engineering University, Harbin 150001, ChinaCollege of Information and Communications Engineering, Harbin Engineering University, Harbin 150001, ChinaNaval Academy of Armament, Beijing 100161, ChinaCollege of Information and Communications Engineering, Harbin Engineering University, Harbin 150001, ChinaA high performance robust beamforming scheme is proposed to combat model mismatch. Our method lies in the novel construction of interference-plus-noise (IPN) covariance matrix. The IPN covariance matrix consists of two parts. The first part is obtained by utilizing the Capon spectrum estimator integrated over a region separated from the direction of the desired signal and the second part is acquired by removing the desired signal component from the sample covariance matrix. Then a weighted summation of these two parts is utilized to reconstruct the IPN matrix. Moreover, a steering vector estimation method based on orthogonal constraint is also proposed. In this method, the presumed steering vector is corrected via orthogonal constraint under the condition where the estimation does not converge to any of the interference steering vectors. To further improve the proposed method in low signal-to-noise ratio (SNR), a hybrid method is proposed by incorporating the diagonal loading method into the IPN matrix reconstruction. Finally, various simulations are performed to demonstrate that the proposed beamformer provides strong robustness against a variety of array mismatches. The output signal-to-interference-plus-noise ratio (SINR) improvement of the beamformer due to the proposed method is significant.http://dx.doi.org/10.1155/2016/3743509 |
| spellingShingle | Wenxing Li Xiaojun Mao Zhuqun Zhai Yingsong Li High Performance Robust Adaptive Beamforming in the Presence of Array Imperfections International Journal of Antennas and Propagation |
| title | High Performance Robust Adaptive Beamforming in the Presence of Array Imperfections |
| title_full | High Performance Robust Adaptive Beamforming in the Presence of Array Imperfections |
| title_fullStr | High Performance Robust Adaptive Beamforming in the Presence of Array Imperfections |
| title_full_unstemmed | High Performance Robust Adaptive Beamforming in the Presence of Array Imperfections |
| title_short | High Performance Robust Adaptive Beamforming in the Presence of Array Imperfections |
| title_sort | high performance robust adaptive beamforming in the presence of array imperfections |
| url | http://dx.doi.org/10.1155/2016/3743509 |
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