2D-DOA Estimation for EMVS Array with Nonuniform Noise
Electromagnetic vector sensor (EMVS) array is one of the most potential arrays for future wireless communications and radars because it is capable of providing two-dimensional (2D) direction-of-arrival (DOA) estimation as well as polarization angles of the source signal. It is well known that existi...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2021-01-01
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| Series: | International Journal of Antennas and Propagation |
| Online Access: | http://dx.doi.org/10.1155/2021/9053864 |
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| author | Chang-Xin Cai Guan-Jun Huang Fang-Qing Wen Xin-Hai Wang Lin Wang |
| author_facet | Chang-Xin Cai Guan-Jun Huang Fang-Qing Wen Xin-Hai Wang Lin Wang |
| author_sort | Chang-Xin Cai |
| collection | DOAJ |
| description | Electromagnetic vector sensor (EMVS) array is one of the most potential arrays for future wireless communications and radars because it is capable of providing two-dimensional (2D) direction-of-arrival (DOA) estimation as well as polarization angles of the source signal. It is well known that existing subspace algorithm cannot directly be applied to a nonuniform noise scenario. In this paper, we consider the 2D-DOA estimation issue for EMVS array in the presence of nonuniform noise and propose an improved subspace-based algorithm. Firstly, it recasts the nonuniform noise issue as a matrix completion problem. The noiseless array covariance matrix is then recovered via solving a convex optimization problem. Thereafter, the shift invariant principle of the EMVS array is adopted to construct a normalized polarization steering vector, after which 2D-DOA is easily estimated as well as polarization angles by incorporating the vector cross-product technique and the pseudoinverse method. The proposed algorithm is effective to EMVS array with arbitrary sensor geometry. Furthermore, the proposed algorithm is free from the nonuniform noise. Several simulations verify the improvement of the proposed method. |
| format | Article |
| id | doaj-art-67c13fe5fc5b43fdaeb285f45c4fd196 |
| institution | Kabale University |
| issn | 1687-5869 1687-5877 |
| language | English |
| publishDate | 2021-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | International Journal of Antennas and Propagation |
| spelling | doaj-art-67c13fe5fc5b43fdaeb285f45c4fd1962025-02-03T07:24:22ZengWileyInternational Journal of Antennas and Propagation1687-58691687-58772021-01-01202110.1155/2021/905386490538642D-DOA Estimation for EMVS Array with Nonuniform NoiseChang-Xin Cai0Guan-Jun Huang1Fang-Qing Wen2Xin-Hai Wang3Lin Wang4National Demonstration Center for Experimental Electrical and Electronic Education, Yangtze University, Jingzhou 434200, ChinaNational Demonstration Center for Experimental Electrical and Electronic Education, Yangtze University, Jingzhou 434200, ChinaCollege of Computer and Information Technology, China Three Gorges University, Yichang 443002, ChinaNanjing Marine Radar Institute, Nanjing 211153, ChinaThe 723 Institute of CSIC, Yangzhou 225000, ChinaElectromagnetic vector sensor (EMVS) array is one of the most potential arrays for future wireless communications and radars because it is capable of providing two-dimensional (2D) direction-of-arrival (DOA) estimation as well as polarization angles of the source signal. It is well known that existing subspace algorithm cannot directly be applied to a nonuniform noise scenario. In this paper, we consider the 2D-DOA estimation issue for EMVS array in the presence of nonuniform noise and propose an improved subspace-based algorithm. Firstly, it recasts the nonuniform noise issue as a matrix completion problem. The noiseless array covariance matrix is then recovered via solving a convex optimization problem. Thereafter, the shift invariant principle of the EMVS array is adopted to construct a normalized polarization steering vector, after which 2D-DOA is easily estimated as well as polarization angles by incorporating the vector cross-product technique and the pseudoinverse method. The proposed algorithm is effective to EMVS array with arbitrary sensor geometry. Furthermore, the proposed algorithm is free from the nonuniform noise. Several simulations verify the improvement of the proposed method.http://dx.doi.org/10.1155/2021/9053864 |
| spellingShingle | Chang-Xin Cai Guan-Jun Huang Fang-Qing Wen Xin-Hai Wang Lin Wang 2D-DOA Estimation for EMVS Array with Nonuniform Noise International Journal of Antennas and Propagation |
| title | 2D-DOA Estimation for EMVS Array with Nonuniform Noise |
| title_full | 2D-DOA Estimation for EMVS Array with Nonuniform Noise |
| title_fullStr | 2D-DOA Estimation for EMVS Array with Nonuniform Noise |
| title_full_unstemmed | 2D-DOA Estimation for EMVS Array with Nonuniform Noise |
| title_short | 2D-DOA Estimation for EMVS Array with Nonuniform Noise |
| title_sort | 2d doa estimation for emvs array with nonuniform noise |
| url | http://dx.doi.org/10.1155/2021/9053864 |
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