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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Main Authors: Jiaxing Yang, Yong Wang
Format: Article
Language:English
Published: IEEE 2025-01-01
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.
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institution Kabale University
issn 1939-1404
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publishDate 2025-01-01
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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/
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AT yongwang sparseapertureinversesyntheticapertureradarimagingformaneuveringtargetswithmigrationthroughresolutioncellscorrection