Joint Sparsity Constraint Interferometric ISAR Imaging for 3-D Geometry of Near-Field Targets with Sub-Apertures
This paper proposes a new interferometric near-field 3-D imaging approach based on multi-channel joint sparse reconstruction to solve the problems of conventional methods, i.e., the irrespective correlation of different channels in single-channel independent imaging which may lead to deviated positi...
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| Format: | Article |
| Language: | English |
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MDPI AG
2018-11-01
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| Series: | Sensors |
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| Online Access: | https://www.mdpi.com/1424-8220/18/11/3750 |
| _version_ | 1818007231257378816 |
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| author | Yang Fang Baoping Wang Chao Sun Shuzhen Wang Jiansheng Hu Zuxun Song |
| author_facet | Yang Fang Baoping Wang Chao Sun Shuzhen Wang Jiansheng Hu Zuxun Song |
| author_sort | Yang Fang |
| collection | DOAJ |
| description | This paper proposes a new interferometric near-field 3-D imaging approach based on multi-channel joint sparse reconstruction to solve the problems of conventional methods, i.e., the irrespective correlation of different channels in single-channel independent imaging which may lead to deviated positions of scattering points, and the low accuracy of imaging azimuth angle for real anisotropic targets. Firstly, two full-apertures are divided into several sub-apertures by the same standard; secondly, the joint sparse metric function is constructed based on scattering characteristics of the target in multi-channel status, and the improved Orthogonal Matching Pursuit (OMP) method is used for imaging solving, so as to obtain high-precision 3-D image of each sub-aperture; thirdly, comprehensive sub-aperture processing is performed using all sub-aperture 3-D images to obtain the final 3-D images; finally, validity of the proposed approach is verified by using simulation electromagnetic data and data measured in the anechoic chamber. Experimental results show that, compared with traditional interferometric ISAR imaging approaches, the algorithm proposed in this paper is able to provide a higher accuracy in scattering center reconstruction, and can effectively maintain relative phase information of channels. |
| first_indexed | 2024-04-14T05:13:04Z |
| format | Article |
| id | doaj.art-d9473561a66e4ea19537f33d737fcc82 |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-04-14T05:13:04Z |
| publishDate | 2018-11-01 |
| publisher | MDPI AG |
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| series | Sensors |
| spelling | doaj.art-d9473561a66e4ea19537f33d737fcc822022-12-22T02:10:29ZengMDPI AGSensors1424-82202018-11-011811375010.3390/s18113750s18113750Joint Sparsity Constraint Interferometric ISAR Imaging for 3-D Geometry of Near-Field Targets with Sub-AperturesYang Fang0Baoping Wang1Chao Sun2Shuzhen Wang3Jiansheng Hu4Zuxun Song5School of Electronics and Information, Northwestern Polytechnical University, Xi’an 710072, ChinaNational Key Laboratory of Science and Technology on UAV, Northwestern Polytechnical University, Xi’an 710065, ChinaSchool of Electronics and Information, Northwestern Polytechnical University, Xi’an 710072, ChinaSchool of Computer Science and Technology, Xidian University, Xi’an 710071, ChinaDepartment of Information Engineering, PAP of Engineering University, Xi’an 710068, ChinaSchool of Electronics and Information, Northwestern Polytechnical University, Xi’an 710072, ChinaThis paper proposes a new interferometric near-field 3-D imaging approach based on multi-channel joint sparse reconstruction to solve the problems of conventional methods, i.e., the irrespective correlation of different channels in single-channel independent imaging which may lead to deviated positions of scattering points, and the low accuracy of imaging azimuth angle for real anisotropic targets. Firstly, two full-apertures are divided into several sub-apertures by the same standard; secondly, the joint sparse metric function is constructed based on scattering characteristics of the target in multi-channel status, and the improved Orthogonal Matching Pursuit (OMP) method is used for imaging solving, so as to obtain high-precision 3-D image of each sub-aperture; thirdly, comprehensive sub-aperture processing is performed using all sub-aperture 3-D images to obtain the final 3-D images; finally, validity of the proposed approach is verified by using simulation electromagnetic data and data measured in the anechoic chamber. Experimental results show that, compared with traditional interferometric ISAR imaging approaches, the algorithm proposed in this paper is able to provide a higher accuracy in scattering center reconstruction, and can effectively maintain relative phase information of channels.https://www.mdpi.com/1424-8220/18/11/3750joint sparse reconstructioninterferometric inverse synthetic aperture radarcompressed sensingnear-field 3-D imagingwide angle |
| spellingShingle | Yang Fang Baoping Wang Chao Sun Shuzhen Wang Jiansheng Hu Zuxun Song Joint Sparsity Constraint Interferometric ISAR Imaging for 3-D Geometry of Near-Field Targets with Sub-Apertures Sensors joint sparse reconstruction interferometric inverse synthetic aperture radar compressed sensing near-field 3-D imaging wide angle |
| title | Joint Sparsity Constraint Interferometric ISAR Imaging for 3-D Geometry of Near-Field Targets with Sub-Apertures |
| title_full | Joint Sparsity Constraint Interferometric ISAR Imaging for 3-D Geometry of Near-Field Targets with Sub-Apertures |
| title_fullStr | Joint Sparsity Constraint Interferometric ISAR Imaging for 3-D Geometry of Near-Field Targets with Sub-Apertures |
| title_full_unstemmed | Joint Sparsity Constraint Interferometric ISAR Imaging for 3-D Geometry of Near-Field Targets with Sub-Apertures |
| title_short | Joint Sparsity Constraint Interferometric ISAR Imaging for 3-D Geometry of Near-Field Targets with Sub-Apertures |
| title_sort | joint sparsity constraint interferometric isar imaging for 3 d geometry of near field targets with sub apertures |
| topic | joint sparse reconstruction interferometric inverse synthetic aperture radar compressed sensing near-field 3-D imaging wide angle |
| url | https://www.mdpi.com/1424-8220/18/11/3750 |
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