Multitarget Direct Localization Using Block Sparse Bayesian Learning in Distributed MIMO Radar
The target localization in distributed multiple-input multiple-output (MIMO) radar is a problem of great interest. This problem becomes more complicated for the case of multitarget where the measurement should be associated with the correct target. Sparse representation has been demonstrated to be a...
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| Format: | Article |
| Language: | English |
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Wiley
2015-01-01
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| Series: | International Journal of Antennas and Propagation |
| Online Access: | http://dx.doi.org/10.1155/2015/903902 |
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| _version_ | 1850174507950538752 |
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| author | Bin Sun Haowen Chen Xizhang Wei Xiang Li |
| author_facet | Bin Sun Haowen Chen Xizhang Wei Xiang Li |
| author_sort | Bin Sun |
| collection | DOAJ |
| description | The target localization in distributed multiple-input multiple-output (MIMO) radar is a problem of great interest. This problem becomes more complicated for the case of multitarget where the
measurement should be associated with the correct target. Sparse representation has been demonstrated to be a powerful framework for direct position determination (DPD) algorithms which avoid the association process. In this paper, we explore a novel sparsity-based DPD method to locate multiple targets using distributed MIMO radar. Since the sparse representation coefficients exhibit block sparsity, we use a block sparse Bayesian learning (BSBL) method to estimate the locations of multitarget, which has many advantages over existing block sparse model based algorithms. Experimental results illustrate that DPD using BSBL can achieve better localization accuracy and higher robustness against block coherence and compressed sensing (CS) than popular algorithms in most cases especially for dense targets case. |
| format | Article |
| id | doaj-art-d625bc1813ff46a2a8705daf4d69aef6 |
| institution | OA Journals |
| issn | 1687-5869 1687-5877 |
| language | English |
| publishDate | 2015-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | International Journal of Antennas and Propagation |
| spelling | doaj-art-d625bc1813ff46a2a8705daf4d69aef62025-08-20T02:19:38ZengWileyInternational Journal of Antennas and Propagation1687-58691687-58772015-01-01201510.1155/2015/903902903902Multitarget Direct Localization Using Block Sparse Bayesian Learning in Distributed MIMO RadarBin Sun0Haowen Chen1Xizhang Wei2Xiang Li3School of Electronic Science and Engineering, National University of Defense Technology, Changsha, Hunan 410073, ChinaSchool of Electronic Science and Engineering, National University of Defense Technology, Changsha, Hunan 410073, ChinaSchool of Electronic Science and Engineering, National University of Defense Technology, Changsha, Hunan 410073, ChinaSchool of Electronic Science and Engineering, National University of Defense Technology, Changsha, Hunan 410073, ChinaThe target localization in distributed multiple-input multiple-output (MIMO) radar is a problem of great interest. This problem becomes more complicated for the case of multitarget where the measurement should be associated with the correct target. Sparse representation has been demonstrated to be a powerful framework for direct position determination (DPD) algorithms which avoid the association process. In this paper, we explore a novel sparsity-based DPD method to locate multiple targets using distributed MIMO radar. Since the sparse representation coefficients exhibit block sparsity, we use a block sparse Bayesian learning (BSBL) method to estimate the locations of multitarget, which has many advantages over existing block sparse model based algorithms. Experimental results illustrate that DPD using BSBL can achieve better localization accuracy and higher robustness against block coherence and compressed sensing (CS) than popular algorithms in most cases especially for dense targets case.http://dx.doi.org/10.1155/2015/903902 |
| spellingShingle | Bin Sun Haowen Chen Xizhang Wei Xiang Li Multitarget Direct Localization Using Block Sparse Bayesian Learning in Distributed MIMO Radar International Journal of Antennas and Propagation |
| title | Multitarget Direct Localization Using Block Sparse Bayesian Learning in Distributed MIMO Radar |
| title_full | Multitarget Direct Localization Using Block Sparse Bayesian Learning in Distributed MIMO Radar |
| title_fullStr | Multitarget Direct Localization Using Block Sparse Bayesian Learning in Distributed MIMO Radar |
| title_full_unstemmed | Multitarget Direct Localization Using Block Sparse Bayesian Learning in Distributed MIMO Radar |
| title_short | Multitarget Direct Localization Using Block Sparse Bayesian Learning in Distributed MIMO Radar |
| title_sort | multitarget direct localization using block sparse bayesian learning in distributed mimo radar |
| url | http://dx.doi.org/10.1155/2015/903902 |
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