L-Shaped Sparse Array Structure for 2-D DOA Estimation
In order to improve the performance of two-dimensional (2-D) direction-of-arrival (DOA) estimation, an L-shaped sparse array structured by two new sparse linear arrays is proposed. Each part of the proposed L-shaped array is used for one-dimensional (1-D) azimuth and elevation estimation, respective...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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IEEE
2020-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/9152018/ |
| _version_ | 1818579368368144384 |
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| author | Fan Wu Fei Cao Xiaogang Ni Chong Chen Yanhong Zhang Jianfeng Xu |
| author_facet | Fan Wu Fei Cao Xiaogang Ni Chong Chen Yanhong Zhang Jianfeng Xu |
| author_sort | Fan Wu |
| collection | DOAJ |
| description | In order to improve the performance of two-dimensional (2-D) direction-of-arrival (DOA) estimation, an L-shaped sparse array structured by two new sparse linear arrays is proposed. Each part of the proposed L-shaped array is used for one-dimensional (1-D) azimuth and elevation estimation, respectively. The new sparse linear array configuration is consisted of two subarrays which have N and M physical sensors, respectively. Owing to the advantages of the proposed sparse linear array configuration, higher degrees-of-freedom (DOF) and larger array aperture can be achieved when the second-order statistics of the received data is used. To match the azimuth and elevation angles automatically, the cross-covariance matrix of the two parts of the proposed L-shaped array is used to estimate the paired DOA angles. Based on the proposed L-shaped array configuration, (M +1)(N -[M/2]) signal directions can be estimated with M +N sensors in each part and totally 2M + 2N - 1 sensors. Through the comparative analysis of the parameters with other sparse planar arrays, the proposed L-shaped array can achieve better performance due to its higher DOF and larger array aperture. Finally, numerical simulation results verify the superiority of the 2-D DOA method based on the proposed L-shaped array. |
| first_indexed | 2024-12-16T07:00:35Z |
| format | Article |
| id | doaj.art-94d1c8b4c70840f79773b6f977dc4fad |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-12-16T07:00:35Z |
| publishDate | 2020-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-94d1c8b4c70840f79773b6f977dc4fad2022-12-21T22:40:11ZengIEEEIEEE Access2169-35362020-01-01814003014003710.1109/ACCESS.2020.30126859152018L-Shaped Sparse Array Structure for 2-D DOA EstimationFan Wu0https://orcid.org/0000-0003-3365-090XFei Cao1Xiaogang Ni2Chong Chen3Yanhong Zhang4Jianfeng Xu5High-Tech Institute of Xian, Xian, ChinaHigh-Tech Institute of Xian, Xian, ChinaHigh-Tech Institute of Xian, Xian, ChinaSchool of Computer and Communication Engineering, University of Science and Technology Beijing (USTB), Beijing, ChinaHigh-Tech Institute of Xian, Xian, ChinaHigh-Tech Institute of Xian, Xian, ChinaIn order to improve the performance of two-dimensional (2-D) direction-of-arrival (DOA) estimation, an L-shaped sparse array structured by two new sparse linear arrays is proposed. Each part of the proposed L-shaped array is used for one-dimensional (1-D) azimuth and elevation estimation, respectively. The new sparse linear array configuration is consisted of two subarrays which have N and M physical sensors, respectively. Owing to the advantages of the proposed sparse linear array configuration, higher degrees-of-freedom (DOF) and larger array aperture can be achieved when the second-order statistics of the received data is used. To match the azimuth and elevation angles automatically, the cross-covariance matrix of the two parts of the proposed L-shaped array is used to estimate the paired DOA angles. Based on the proposed L-shaped array configuration, (M +1)(N -[M/2]) signal directions can be estimated with M +N sensors in each part and totally 2M + 2N - 1 sensors. Through the comparative analysis of the parameters with other sparse planar arrays, the proposed L-shaped array can achieve better performance due to its higher DOF and larger array aperture. Finally, numerical simulation results verify the superiority of the 2-D DOA method based on the proposed L-shaped array.https://ieeexplore.ieee.org/document/9152018/Degrees-of-freedomdirection-of-arrival estimationL-shaped arrayssparse linear array |
| spellingShingle | Fan Wu Fei Cao Xiaogang Ni Chong Chen Yanhong Zhang Jianfeng Xu L-Shaped Sparse Array Structure for 2-D DOA Estimation IEEE Access Degrees-of-freedom direction-of-arrival estimation L-shaped arrays sparse linear array |
| title | L-Shaped Sparse Array Structure for 2-D DOA Estimation |
| title_full | L-Shaped Sparse Array Structure for 2-D DOA Estimation |
| title_fullStr | L-Shaped Sparse Array Structure for 2-D DOA Estimation |
| title_full_unstemmed | L-Shaped Sparse Array Structure for 2-D DOA Estimation |
| title_short | L-Shaped Sparse Array Structure for 2-D DOA Estimation |
| title_sort | l shaped sparse array structure for 2 d doa estimation |
| topic | Degrees-of-freedom direction-of-arrival estimation L-shaped arrays sparse linear array |
| url | https://ieeexplore.ieee.org/document/9152018/ |
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