BSBL-based multiband fusion ISAR imaging
Multiband fusion imaging can effectively improve the range resolution of inverse synthetic aperture radar (ISAR) imaging. In this study, the block sparse Bayesian learning (BSBL) method is applied to multiband fusion imaging to achieve high-resolution ISAR imaging of a block-structured target. The B...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2019-07-01
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| Series: | The Journal of Engineering |
| Subjects: | |
| Online Access: | https://digital-library.theiet.org/content/journals/10.1049/joe.2019.0369 |
| _version_ | 1818452150654599168 |
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| author | Di Xiong Junling Wang Lizhi Zhao Meiguo Gao |
| author_facet | Di Xiong Junling Wang Lizhi Zhao Meiguo Gao |
| author_sort | Di Xiong |
| collection | DOAJ |
| description | Multiband fusion imaging can effectively improve the range resolution of inverse synthetic aperture radar (ISAR) imaging. In this study, the block sparse Bayesian learning (BSBL) method is applied to multiband fusion imaging to achieve high-resolution ISAR imaging of a block-structured target. The BSBL method is suitable for the ISAR imaging of numerous and continuous scatterers because it considers the block structure characteristics of the signal. The validity of the proposed method is verified by the simulation and real-data experimental results. |
| first_indexed | 2024-12-14T21:18:31Z |
| format | Article |
| id | doaj.art-86ca9a6537a64ea9a9f15deae1346a87 |
| institution | Directory Open Access Journal |
| issn | 2051-3305 |
| language | English |
| last_indexed | 2024-12-14T21:18:31Z |
| publishDate | 2019-07-01 |
| publisher | Wiley |
| record_format | Article |
| series | The Journal of Engineering |
| spelling | doaj.art-86ca9a6537a64ea9a9f15deae1346a872022-12-21T22:47:00ZengWileyThe Journal of Engineering2051-33052019-07-0110.1049/joe.2019.0369JOE.2019.0369BSBL-based multiband fusion ISAR imagingDi Xiong0Junling Wang1Lizhi Zhao2Meiguo Gao3School of Information and Electronics, Beijing Institute of technologySchool of Information and Electronics, Beijing Institute of technologySchool of Information Engineering, Minzu University of ChinaSchool of Information and Electronics, Beijing Institute of technologyMultiband fusion imaging can effectively improve the range resolution of inverse synthetic aperture radar (ISAR) imaging. In this study, the block sparse Bayesian learning (BSBL) method is applied to multiband fusion imaging to achieve high-resolution ISAR imaging of a block-structured target. The BSBL method is suitable for the ISAR imaging of numerous and continuous scatterers because it considers the block structure characteristics of the signal. The validity of the proposed method is verified by the simulation and real-data experimental results.https://digital-library.theiet.org/content/journals/10.1049/joe.2019.0369Bayes methodsradar imagingimage resolutionimage fusionsynthetic aperture radarlearning (artificial intelligence)BSBL-based multiband fusion ISAR imagingmultiband fusion imagingrange resolutioninverse synthetic aperture radar imagingblock sparse Bayesian learning methodhigh-resolution ISAR imagingblock-structured targetBSBL methodblock structure characteristics |
| spellingShingle | Di Xiong Junling Wang Lizhi Zhao Meiguo Gao BSBL-based multiband fusion ISAR imaging The Journal of Engineering Bayes methods radar imaging image resolution image fusion synthetic aperture radar learning (artificial intelligence) BSBL-based multiband fusion ISAR imaging multiband fusion imaging range resolution inverse synthetic aperture radar imaging block sparse Bayesian learning method high-resolution ISAR imaging block-structured target BSBL method block structure characteristics |
| title | BSBL-based multiband fusion ISAR imaging |
| title_full | BSBL-based multiband fusion ISAR imaging |
| title_fullStr | BSBL-based multiband fusion ISAR imaging |
| title_full_unstemmed | BSBL-based multiband fusion ISAR imaging |
| title_short | BSBL-based multiband fusion ISAR imaging |
| title_sort | bsbl based multiband fusion isar imaging |
| topic | Bayes methods radar imaging image resolution image fusion synthetic aperture radar learning (artificial intelligence) BSBL-based multiband fusion ISAR imaging multiband fusion imaging range resolution inverse synthetic aperture radar imaging block sparse Bayesian learning method high-resolution ISAR imaging block-structured target BSBL method block structure characteristics |
| url | https://digital-library.theiet.org/content/journals/10.1049/joe.2019.0369 |
| work_keys_str_mv | AT dixiong bsblbasedmultibandfusionisarimaging AT junlingwang bsblbasedmultibandfusionisarimaging AT lizhizhao bsblbasedmultibandfusionisarimaging AT meiguogao bsblbasedmultibandfusionisarimaging |