Robust Null Broadening Beamforming Based on Covariance Matrix Reconstruction via Virtual Interference Sources
When jammers move rapidly or an antenna platform travels at high speed, interference signals may move out of the null width in the array beampattern. Consequently, the interference suppression performance can be significantly degraded. To solve this problem, both the null broadening technique and ro...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2020-03-01
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| Series: | Sensors |
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| Online Access: | https://www.mdpi.com/1424-8220/20/7/1865 |
| _version_ | 1797626554510999552 |
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| author | Jian Yang Jian Lu Xinxin Liu Guisheng Liao |
| author_facet | Jian Yang Jian Lu Xinxin Liu Guisheng Liao |
| author_sort | Jian Yang |
| collection | DOAJ |
| description | When jammers move rapidly or an antenna platform travels at high speed, interference signals may move out of the null width in the array beampattern. Consequently, the interference suppression performance can be significantly degraded. To solve this problem, both the null broadening technique and robust adaptive beamforming are considered in this paper. A novel null broadening beamforming method based on reconstruction of the interference-plus-noise covariance (INC) matrix is proposed, in order to broaden the null width and offset the motion of the interfering signals. In the moving case, a single interference signal can have multiple directions of arrival, which is equivalent to the existence of multiple interference sources. In the reconstruction of the INC matrix, several virtual interference sources are set up around each of the actual jammers, such that the nulls can be broadened. Based on the reconstructed INC and signal-plus-noise covariance (SNC) matrices, the steering vector of the desired signal can be obtained by solving a new convex optimization problem. Simulation results show that the proposed beamformer can effectively broaden the null width and deepen the null depth, and its performance in interference cancellation is robust against fast-moving jammers or array platform motion. Furthermore, the null depth can be controlled by adjusting the power parameters in the reconstruction process and, if the direction of interference motion is known, the virtual interference sources can be set to achieve better performance. |
| first_indexed | 2024-03-11T10:12:03Z |
| format | Article |
| id | doaj.art-aee010edc7e64a0ba4dc3a210a7761ca |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-03-11T10:12:03Z |
| publishDate | 2020-03-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-aee010edc7e64a0ba4dc3a210a7761ca2023-11-16T14:28:43ZengMDPI AGSensors1424-82202020-03-01207186510.3390/s20071865Robust Null Broadening Beamforming Based on Covariance Matrix Reconstruction via Virtual Interference SourcesJian Yang0Jian Lu1Xinxin Liu2Guisheng Liao3School of Electronic Engineering, Xidian University, Xi’an 710071, ChinaSchool of Engineering, Rocket Force University of Engineering, Xi’an 710025, ChinaSchool of Engineering, Rocket Force University of Engineering, Xi’an 710025, ChinaSchool of Electronic Engineering, Xidian University, Xi’an 710071, ChinaWhen jammers move rapidly or an antenna platform travels at high speed, interference signals may move out of the null width in the array beampattern. Consequently, the interference suppression performance can be significantly degraded. To solve this problem, both the null broadening technique and robust adaptive beamforming are considered in this paper. A novel null broadening beamforming method based on reconstruction of the interference-plus-noise covariance (INC) matrix is proposed, in order to broaden the null width and offset the motion of the interfering signals. In the moving case, a single interference signal can have multiple directions of arrival, which is equivalent to the existence of multiple interference sources. In the reconstruction of the INC matrix, several virtual interference sources are set up around each of the actual jammers, such that the nulls can be broadened. Based on the reconstructed INC and signal-plus-noise covariance (SNC) matrices, the steering vector of the desired signal can be obtained by solving a new convex optimization problem. Simulation results show that the proposed beamformer can effectively broaden the null width and deepen the null depth, and its performance in interference cancellation is robust against fast-moving jammers or array platform motion. Furthermore, the null depth can be controlled by adjusting the power parameters in the reconstruction process and, if the direction of interference motion is known, the virtual interference sources can be set to achieve better performance.https://www.mdpi.com/1424-8220/20/7/1865covariance matrix reconstructionnull broadeningvirtual interference sourcesbeamforming |
| spellingShingle | Jian Yang Jian Lu Xinxin Liu Guisheng Liao Robust Null Broadening Beamforming Based on Covariance Matrix Reconstruction via Virtual Interference Sources Sensors covariance matrix reconstruction null broadening virtual interference sources beamforming |
| title | Robust Null Broadening Beamforming Based on Covariance Matrix Reconstruction via Virtual Interference Sources |
| title_full | Robust Null Broadening Beamforming Based on Covariance Matrix Reconstruction via Virtual Interference Sources |
| title_fullStr | Robust Null Broadening Beamforming Based on Covariance Matrix Reconstruction via Virtual Interference Sources |
| title_full_unstemmed | Robust Null Broadening Beamforming Based on Covariance Matrix Reconstruction via Virtual Interference Sources |
| title_short | Robust Null Broadening Beamforming Based on Covariance Matrix Reconstruction via Virtual Interference Sources |
| title_sort | robust null broadening beamforming based on covariance matrix reconstruction via virtual interference sources |
| topic | covariance matrix reconstruction null broadening virtual interference sources beamforming |
| url | https://www.mdpi.com/1424-8220/20/7/1865 |
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