Fine-Resolution Spaceborne Radar Imaging of Space Targets With Parametric Second-Order Scaling and High-Order Spatial-Variant Phase Compensation
Spaceborne radar imaging is the key means to obtain the fine-resolution radar image of space targets. However, the nonuniform relative rotational motion caused by the high-speed orbital state leads to the degradation of the radar imaging performance. To address this problem, a fine-resolution spaceb...
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| Format: | Article |
| Language: | English |
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IEEE
2025-01-01
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| Series: | IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing |
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| Online Access: | https://ieeexplore.ieee.org/document/11048690/ |
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| author | He Li Rui Cao Tianyuan Yang Pingping Lu Yijiang Nan Robert Wang |
| author_facet | He Li Rui Cao Tianyuan Yang Pingping Lu Yijiang Nan Robert Wang |
| author_sort | He Li |
| collection | DOAJ |
| description | Spaceborne radar imaging is the key means to obtain the fine-resolution radar image of space targets. However, the nonuniform relative rotational motion caused by the high-speed orbital state leads to the degradation of the radar imaging performance. To address this problem, a fine-resolution spaceborne radar imaging method of space targets with parametric second-order scaling (PSOS) and high-order spatial-variant phase compensation is proposed in this article. First, an accurate echo signal model that has higher precision than the existing methods is derived, which considers the spatial-variant second-order migration through range cell (MTRC) and high-order phase error (SVPE). Then, the problem of the relative rotational motion parameters estimation is transformed as the optimization solution in the Doppler domain, and an efficient rotational motion estimation method with the time–frequency ridge extraction and Levenberg–Marquardt (L–M) algorithm is proposed. On this basis, a PSOS operation is proposed to correct the spatial-variant second-order MTRC. Afterward, a parametric high-order SVPE compensation function is introduced to achieve the azimuth focus. Finally, a fine-resolution spaceborne radar image of the space target can be obtained. The results of the simulated and measured data verify the advantages of the proposed method. |
| format | Article |
| id | doaj-art-23863992fe694f15b64c37fd706ad5d6 |
| institution | Kabale University |
| issn | 1939-1404 2151-1535 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing |
| spelling | doaj-art-23863992fe694f15b64c37fd706ad5d62025-08-20T03:51:29ZengIEEEIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing1939-14042151-15352025-01-0118172811729610.1109/JSTARS.2025.358259611048690Fine-Resolution Spaceborne Radar Imaging of Space Targets With Parametric Second-Order Scaling and High-Order Spatial-Variant Phase CompensationHe Li0https://orcid.org/0009-0001-0602-966XRui Cao1https://orcid.org/0000-0001-7253-7673Tianyuan Yang2https://orcid.org/0000-0002-6010-7876Pingping Lu3https://orcid.org/0000-0003-1486-7580Yijiang Nan4https://orcid.org/0000-0002-1745-117XRobert Wang5https://orcid.org/0000-0002-9850-7015National Key Laboratory of Microwave Imaging, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, ChinaNational Key Laboratory of Microwave Imaging, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, ChinaNational Key Laboratory of Microwave Imaging, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, ChinaNational Key Laboratory of Microwave Imaging, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, ChinaNational Key Laboratory of Microwave Imaging, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, ChinaNational Key Laboratory of Microwave Imaging, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, ChinaSpaceborne radar imaging is the key means to obtain the fine-resolution radar image of space targets. However, the nonuniform relative rotational motion caused by the high-speed orbital state leads to the degradation of the radar imaging performance. To address this problem, a fine-resolution spaceborne radar imaging method of space targets with parametric second-order scaling (PSOS) and high-order spatial-variant phase compensation is proposed in this article. First, an accurate echo signal model that has higher precision than the existing methods is derived, which considers the spatial-variant second-order migration through range cell (MTRC) and high-order phase error (SVPE). Then, the problem of the relative rotational motion parameters estimation is transformed as the optimization solution in the Doppler domain, and an efficient rotational motion estimation method with the time–frequency ridge extraction and Levenberg–Marquardt (L–M) algorithm is proposed. On this basis, a PSOS operation is proposed to correct the spatial-variant second-order MTRC. Afterward, a parametric high-order SVPE compensation function is introduced to achieve the azimuth focus. Finally, a fine-resolution spaceborne radar image of the space target can be obtained. The results of the simulated and measured data verify the advantages of the proposed method.https://ieeexplore.ieee.org/document/11048690/Migration through range cell compensationmotion parameters estimationspaceborne radar imagingspatial-variant phase error compensationsynthetic aperture radar (SAR) |
| spellingShingle | He Li Rui Cao Tianyuan Yang Pingping Lu Yijiang Nan Robert Wang Fine-Resolution Spaceborne Radar Imaging of Space Targets With Parametric Second-Order Scaling and High-Order Spatial-Variant Phase Compensation IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing Migration through range cell compensation motion parameters estimation spaceborne radar imaging spatial-variant phase error compensation synthetic aperture radar (SAR) |
| title | Fine-Resolution Spaceborne Radar Imaging of Space Targets With Parametric Second-Order Scaling and High-Order Spatial-Variant Phase Compensation |
| title_full | Fine-Resolution Spaceborne Radar Imaging of Space Targets With Parametric Second-Order Scaling and High-Order Spatial-Variant Phase Compensation |
| title_fullStr | Fine-Resolution Spaceborne Radar Imaging of Space Targets With Parametric Second-Order Scaling and High-Order Spatial-Variant Phase Compensation |
| title_full_unstemmed | Fine-Resolution Spaceborne Radar Imaging of Space Targets With Parametric Second-Order Scaling and High-Order Spatial-Variant Phase Compensation |
| title_short | Fine-Resolution Spaceborne Radar Imaging of Space Targets With Parametric Second-Order Scaling and High-Order Spatial-Variant Phase Compensation |
| title_sort | fine resolution spaceborne radar imaging of space targets with parametric second order scaling and high order spatial variant phase compensation |
| topic | Migration through range cell compensation motion parameters estimation spaceborne radar imaging spatial-variant phase error compensation synthetic aperture radar (SAR) |
| url | https://ieeexplore.ieee.org/document/11048690/ |
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