Sparse Aperture Inverse Synthetic Aperture Radar Imaging for Maneuvering Targets With Migration Through Resolution Cells Correction
Due to the nonstationarity of the echo, it is hard to form a well-focused sparse aperture inverse synthetic aperture radar (SA-ISAR) image for maneuvering targets by traditional algorithms. In this article, two algorithms are proposed to achieve the translational motion compensation and SA-ISAR imag...
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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/10811767/ |
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author | Jiaxing Yang Yong Wang |
author_facet | Jiaxing Yang Yong Wang |
author_sort | Jiaxing Yang |
collection | DOAJ |
description | Due to the nonstationarity of the echo, it is hard to form a well-focused sparse aperture inverse synthetic aperture radar (SA-ISAR) image for maneuvering targets by traditional algorithms. In this article, two algorithms are proposed to achieve the translational motion compensation and SA-ISAR imaging with migration through resolution cells (MTRC) correction for maneuvering targets respectively. First, with the stretch processing generated extra complex phase terms incorporated into the analysis, a modified parametric translational motion compensation algorithm is proposed to achieve the translational motion compensation. The translational parameters are estimated by optimizing the image entropy of the range–Doppler based ISAR image. Second, a novel SA-ISAR imaging framework with MTRC correction is proposed. After translational motion compensation, the nonstationary echo is intercepted by the short time window to extract the stationary echo. The missing data iterative adaptive approach-based random missing signal recovery and the interpolation-based MTRC correction are successively applied to the stationary echo. Subsequently, the iterative adaptive approach-based azimuth compression is applied in the framework to the valid MTRC-corrected range profile to form the focused ISAR image. Finally, the experimental results validate the effectiveness of the two proposed algorithms. |
format | Article |
id | doaj-art-f96b7c0a27d547188e2242b8b1ee733e |
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-f96b7c0a27d547188e2242b8b1ee733e2025-02-04T00:00:18ZengIEEEIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing1939-14042151-15352025-01-01184446447210.1109/JSTARS.2024.352101810811767Sparse Aperture Inverse Synthetic Aperture Radar Imaging for Maneuvering Targets With Migration Through Resolution Cells CorrectionJiaxing Yang0https://orcid.org/0009-0002-9459-3427Yong Wang1https://orcid.org/0000-0002-4934-9831Research Institute of Electronic Engineering Technology, Harbin Institute of Technology, Harbin, ChinaResearch Institute of Electronic Engineering Technology, Harbin Institute of Technology, Harbin, ChinaDue to the nonstationarity of the echo, it is hard to form a well-focused sparse aperture inverse synthetic aperture radar (SA-ISAR) image for maneuvering targets by traditional algorithms. In this article, two algorithms are proposed to achieve the translational motion compensation and SA-ISAR imaging with migration through resolution cells (MTRC) correction for maneuvering targets respectively. First, with the stretch processing generated extra complex phase terms incorporated into the analysis, a modified parametric translational motion compensation algorithm is proposed to achieve the translational motion compensation. The translational parameters are estimated by optimizing the image entropy of the range–Doppler based ISAR image. Second, a novel SA-ISAR imaging framework with MTRC correction is proposed. After translational motion compensation, the nonstationary echo is intercepted by the short time window to extract the stationary echo. The missing data iterative adaptive approach-based random missing signal recovery and the interpolation-based MTRC correction are successively applied to the stationary echo. Subsequently, the iterative adaptive approach-based azimuth compression is applied in the framework to the valid MTRC-corrected range profile to form the focused ISAR image. Finally, the experimental results validate the effectiveness of the two proposed algorithms.https://ieeexplore.ieee.org/document/10811767/Inverse synthetic aperture radar (ISAR) imagingmigration through resolution cells (MTRC)missing data iterative adaptive approach (MIAA)translational motion compensation |
spellingShingle | Jiaxing Yang Yong Wang Sparse Aperture Inverse Synthetic Aperture Radar Imaging for Maneuvering Targets With Migration Through Resolution Cells Correction IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing Inverse synthetic aperture radar (ISAR) imaging migration through resolution cells (MTRC) missing data iterative adaptive approach (MIAA) translational motion compensation |
title | Sparse Aperture Inverse Synthetic Aperture Radar Imaging for Maneuvering Targets With Migration Through Resolution Cells Correction |
title_full | Sparse Aperture Inverse Synthetic Aperture Radar Imaging for Maneuvering Targets With Migration Through Resolution Cells Correction |
title_fullStr | Sparse Aperture Inverse Synthetic Aperture Radar Imaging for Maneuvering Targets With Migration Through Resolution Cells Correction |
title_full_unstemmed | Sparse Aperture Inverse Synthetic Aperture Radar Imaging for Maneuvering Targets With Migration Through Resolution Cells Correction |
title_short | Sparse Aperture Inverse Synthetic Aperture Radar Imaging for Maneuvering Targets With Migration Through Resolution Cells Correction |
title_sort | sparse aperture inverse synthetic aperture radar imaging for maneuvering targets with migration through resolution cells correction |
topic | Inverse synthetic aperture radar (ISAR) imaging migration through resolution cells (MTRC) missing data iterative adaptive approach (MIAA) translational motion compensation |
url | https://ieeexplore.ieee.org/document/10811767/ |
work_keys_str_mv | AT jiaxingyang sparseapertureinversesyntheticapertureradarimagingformaneuveringtargetswithmigrationthroughresolutioncellscorrection AT yongwang sparseapertureinversesyntheticapertureradarimagingformaneuveringtargetswithmigrationthroughresolutioncellscorrection |