Flexible Null Broadening Robust Beamforming Based on JADE
In order to flexibly and completely suppress dynamic interference, a flexible and robust beamforming based on JADE is proposed in this paper. In addition, it is insensitive to the gain–phase errors of the array. Firstly, the actual steering vector with gain–phase errors is separated from the receive...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2022-09-01
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| Series: | Applied Sciences |
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| Online Access: | https://www.mdpi.com/2076-3417/12/18/9329 |
| _version_ | 1827663656440037376 |
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| author | Yulong Liu Yingzeng Yin Ruilong Li Ru Fang |
| author_facet | Yulong Liu Yingzeng Yin Ruilong Li Ru Fang |
| author_sort | Yulong Liu |
| collection | DOAJ |
| description | In order to flexibly and completely suppress dynamic interference, a flexible and robust beamforming based on JADE is proposed in this paper. In addition, it is insensitive to the gain–phase errors of the array. Firstly, the actual steering vector with gain–phase errors is separated from the received snapshot data by the joint approximate diagonalization of eigenmatrix (JADE) algorithm. Secondly, the direction of arrival (DOA) of interference can be estimated from the separated actual steering vector by the correlation coefficient method. Thus, the actual interference steering vector with gain–phase errors can be selected by the correlation coefficient with the nominal steering vector constructed by the estimated DOA. Then, the interference covariance matrix can be reconstructed by the actual interference steering vector, and the interference power estimated by the Capon power spectral. Finally, according to the prior information of the interference, only the dynamic interference covariance matrix is tapered by the novel covariance matrix trap (CMT), which can flexibly broaden and deepen the null. Simulation results show that the depth of the proposed beamformer is more than 10 dB deeper than that of the traditional algorithm in the non-stationary interference. In addition, it can save at least 2 degrees of freedom compared to the traditional method. |
| first_indexed | 2024-03-10T00:47:46Z |
| format | Article |
| id | doaj.art-23160389013c40a8a8b713b65e517706 |
| institution | Directory Open Access Journal |
| issn | 2076-3417 |
| language | English |
| last_indexed | 2024-03-10T00:47:46Z |
| publishDate | 2022-09-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Applied Sciences |
| spelling | doaj.art-23160389013c40a8a8b713b65e5177062023-11-23T14:56:49ZengMDPI AGApplied Sciences2076-34172022-09-011218932910.3390/app12189329Flexible Null Broadening Robust Beamforming Based on JADEYulong Liu0Yingzeng Yin1Ruilong Li2Ru Fang3Key Laboratory of Antennas and Microwave Technology, Xidian University, Xi’an 710071, ChinaKey Laboratory of Antennas and Microwave Technology, Xidian University, Xi’an 710071, ChinaChina Research Institute of Radiowave Propagation, Qingdao 266107, ChinaChina Research Institute of Radiowave Propagation, Qingdao 266107, ChinaIn order to flexibly and completely suppress dynamic interference, a flexible and robust beamforming based on JADE is proposed in this paper. In addition, it is insensitive to the gain–phase errors of the array. Firstly, the actual steering vector with gain–phase errors is separated from the received snapshot data by the joint approximate diagonalization of eigenmatrix (JADE) algorithm. Secondly, the direction of arrival (DOA) of interference can be estimated from the separated actual steering vector by the correlation coefficient method. Thus, the actual interference steering vector with gain–phase errors can be selected by the correlation coefficient with the nominal steering vector constructed by the estimated DOA. Then, the interference covariance matrix can be reconstructed by the actual interference steering vector, and the interference power estimated by the Capon power spectral. Finally, according to the prior information of the interference, only the dynamic interference covariance matrix is tapered by the novel covariance matrix trap (CMT), which can flexibly broaden and deepen the null. Simulation results show that the depth of the proposed beamformer is more than 10 dB deeper than that of the traditional algorithm in the non-stationary interference. In addition, it can save at least 2 degrees of freedom compared to the traditional method.https://www.mdpi.com/2076-3417/12/18/9329beamformingnull broadeningJADECMTgain–phase error |
| spellingShingle | Yulong Liu Yingzeng Yin Ruilong Li Ru Fang Flexible Null Broadening Robust Beamforming Based on JADE Applied Sciences beamforming null broadening JADE CMT gain–phase error |
| title | Flexible Null Broadening Robust Beamforming Based on JADE |
| title_full | Flexible Null Broadening Robust Beamforming Based on JADE |
| title_fullStr | Flexible Null Broadening Robust Beamforming Based on JADE |
| title_full_unstemmed | Flexible Null Broadening Robust Beamforming Based on JADE |
| title_short | Flexible Null Broadening Robust Beamforming Based on JADE |
| title_sort | flexible null broadening robust beamforming based on jade |
| topic | beamforming null broadening JADE CMT gain–phase error |
| url | https://www.mdpi.com/2076-3417/12/18/9329 |
| work_keys_str_mv | AT yulongliu flexiblenullbroadeningrobustbeamformingbasedonjade AT yingzengyin flexiblenullbroadeningrobustbeamformingbasedonjade AT ruilongli flexiblenullbroadeningrobustbeamformingbasedonjade AT rufang flexiblenullbroadeningrobustbeamformingbasedonjade |