Direction-of-Arrival Estimation for Coherent Sources via Sparse Bayesian Learning
A spatial filtering-based relevance vector machine (RVM) is proposed in this paper to separate coherent sources and estimate their directions-of-arrival (DOA), with the filter parameters and DOA estimates initialized and refined via sparse Bayesian learning. The RVM is used to exploit the spatial sp...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2014-01-01
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| Series: | International Journal of Antennas and Propagation |
| Online Access: | http://dx.doi.org/10.1155/2014/959386 |
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| author | Zhang-Meng Liu Zheng Liu Dao-Wang Feng Zhi-Tao Huang |
| author_facet | Zhang-Meng Liu Zheng Liu Dao-Wang Feng Zhi-Tao Huang |
| author_sort | Zhang-Meng Liu |
| collection | DOAJ |
| description | A spatial filtering-based relevance vector machine (RVM) is proposed in this paper to separate coherent sources and estimate their directions-of-arrival (DOA), with the filter parameters and DOA estimates initialized and refined via sparse Bayesian learning. The RVM is used to exploit the spatial sparsity of the incident signals and gain improved adaptability to much demanding scenarios, such as low signal-to-noise ratio (SNR), limited snapshots, and spatially adjacent sources, and the spatial filters are introduced to enhance global convergence of the original RVM in the case of coherent sources. The proposed method adapts to arbitrary array geometry, and simulation results show that it surpasses the existing methods in DOA estimation performance. |
| format | Article |
| id | doaj-art-78dde94d97ac414cba075c2e09a471d7 |
| institution | Kabale University |
| issn | 1687-5869 1687-5877 |
| language | English |
| publishDate | 2014-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | International Journal of Antennas and Propagation |
| spelling | doaj-art-78dde94d97ac414cba075c2e09a471d72025-02-03T01:12:25ZengWileyInternational Journal of Antennas and Propagation1687-58691687-58772014-01-01201410.1155/2014/959386959386Direction-of-Arrival Estimation for Coherent Sources via Sparse Bayesian LearningZhang-Meng Liu0Zheng Liu1Dao-Wang Feng2Zhi-Tao Huang3The State Key Laboratory of Complex Electromagnetic Environment Effects on Electronics and Information System (CEMEE), Luoyang 471003, ChinaCollege of Electronic Science and Engineering, National University of Defense Technology, Changsha 410073, ChinaCollege of Electronic Science and Engineering, National University of Defense Technology, Changsha 410073, ChinaThe State Key Laboratory of Complex Electromagnetic Environment Effects on Electronics and Information System (CEMEE), Luoyang 471003, ChinaA spatial filtering-based relevance vector machine (RVM) is proposed in this paper to separate coherent sources and estimate their directions-of-arrival (DOA), with the filter parameters and DOA estimates initialized and refined via sparse Bayesian learning. The RVM is used to exploit the spatial sparsity of the incident signals and gain improved adaptability to much demanding scenarios, such as low signal-to-noise ratio (SNR), limited snapshots, and spatially adjacent sources, and the spatial filters are introduced to enhance global convergence of the original RVM in the case of coherent sources. The proposed method adapts to arbitrary array geometry, and simulation results show that it surpasses the existing methods in DOA estimation performance.http://dx.doi.org/10.1155/2014/959386 |
| spellingShingle | Zhang-Meng Liu Zheng Liu Dao-Wang Feng Zhi-Tao Huang Direction-of-Arrival Estimation for Coherent Sources via Sparse Bayesian Learning International Journal of Antennas and Propagation |
| title | Direction-of-Arrival Estimation for Coherent Sources via Sparse Bayesian Learning |
| title_full | Direction-of-Arrival Estimation for Coherent Sources via Sparse Bayesian Learning |
| title_fullStr | Direction-of-Arrival Estimation for Coherent Sources via Sparse Bayesian Learning |
| title_full_unstemmed | Direction-of-Arrival Estimation for Coherent Sources via Sparse Bayesian Learning |
| title_short | Direction-of-Arrival Estimation for Coherent Sources via Sparse Bayesian Learning |
| title_sort | direction of arrival estimation for coherent sources via sparse bayesian learning |
| url | http://dx.doi.org/10.1155/2014/959386 |
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