Research on an inverse synthetic aperture radar imaging algorithm based on non-convex regularization model
Inverse synthetic aperture radar(ISAR) is widely used in military and civilian fields because of its ability to image non-cooperative maneuvering targets. Researches show that the compressed sensing technology can be used to improve the resolution and reduce the amount of data required on the ISAR i...
Saved in:
| Main Authors: | , , , , |
|---|---|
| Format: | Article |
| Language: | zho |
| Published: |
EDP Sciences
2024-10-01
|
| Series: | Xibei Gongye Daxue Xuebao |
| Subjects: | |
| Online Access: | https://www.jnwpu.org/articles/jnwpu/full_html/2024/05/jnwpu2024425p875/jnwpu2024425p875.html |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1850247454470963200 |
|---|---|
| author | ZHAO Yanan YE Fangjie WANG Chao YANG Fengyuan ZHU Feng |
| author_facet | ZHAO Yanan YE Fangjie WANG Chao YANG Fengyuan ZHU Feng |
| author_sort | ZHAO Yanan |
| collection | DOAJ |
| description | Inverse synthetic aperture radar(ISAR) is widely used in military and civilian fields because of its ability to image non-cooperative maneuvering targets. Researches show that the compressed sensing technology can be used to improve the resolution and reduce the amount of data required on the ISAR imaging. In this paper, we focus on a classical non-convex regularization model in the field of compressed sensing. For this model, we propose a new algorithm which is based on the MM iteration algorithm framework and adopts the idea of support shrinkage technique, called as iteration support shrinkage algorithm. The new algorithm is simple and efficient, and numerical experiments show that it performs well in ISAR imaging. |
| format | Article |
| id | doaj-art-e530aec0a1ea4b21be750a848bb10fab |
| institution | OA Journals |
| issn | 1000-2758 2609-7125 |
| language | zho |
| publishDate | 2024-10-01 |
| publisher | EDP Sciences |
| record_format | Article |
| series | Xibei Gongye Daxue Xuebao |
| spelling | doaj-art-e530aec0a1ea4b21be750a848bb10fab2025-08-20T01:58:55ZzhoEDP SciencesXibei Gongye Daxue Xuebao1000-27582609-71252024-10-0142587588110.1051/jnwpu/20244250875jnwpu2024425p875Research on an inverse synthetic aperture radar imaging algorithm based on non-convex regularization modelZHAO Yanan0YE Fangjie1WANG Chao2YANG Fengyuan3ZHU Feng4Nanjing Research Institute of Electronic EngineeringSchool of Mathematical Sciences, Nankai UniversityNanjing Research Institute of Electronic EngineeringNanjing Research Institute of Electronic EngineeringNanjing Research Institute of Electronic EngineeringInverse synthetic aperture radar(ISAR) is widely used in military and civilian fields because of its ability to image non-cooperative maneuvering targets. Researches show that the compressed sensing technology can be used to improve the resolution and reduce the amount of data required on the ISAR imaging. In this paper, we focus on a classical non-convex regularization model in the field of compressed sensing. For this model, we propose a new algorithm which is based on the MM iteration algorithm framework and adopts the idea of support shrinkage technique, called as iteration support shrinkage algorithm. The new algorithm is simple and efficient, and numerical experiments show that it performs well in ISAR imaging.https://www.jnwpu.org/articles/jnwpu/full_html/2024/05/jnwpu2024425p875/jnwpu2024425p875.html逆合成孔径雷达成像非凸正则化mm算法支撑集收缩 |
| spellingShingle | ZHAO Yanan YE Fangjie WANG Chao YANG Fengyuan ZHU Feng Research on an inverse synthetic aperture radar imaging algorithm based on non-convex regularization model Xibei Gongye Daxue Xuebao 逆合成孔径雷达成像 非凸正则化 mm算法 支撑集收缩 |
| title | Research on an inverse synthetic aperture radar imaging algorithm based on non-convex regularization model |
| title_full | Research on an inverse synthetic aperture radar imaging algorithm based on non-convex regularization model |
| title_fullStr | Research on an inverse synthetic aperture radar imaging algorithm based on non-convex regularization model |
| title_full_unstemmed | Research on an inverse synthetic aperture radar imaging algorithm based on non-convex regularization model |
| title_short | Research on an inverse synthetic aperture radar imaging algorithm based on non-convex regularization model |
| title_sort | research on an inverse synthetic aperture radar imaging algorithm based on non convex regularization model |
| topic | 逆合成孔径雷达成像 非凸正则化 mm算法 支撑集收缩 |
| url | https://www.jnwpu.org/articles/jnwpu/full_html/2024/05/jnwpu2024425p875/jnwpu2024425p875.html |
| work_keys_str_mv | AT zhaoyanan researchonaninversesyntheticapertureradarimagingalgorithmbasedonnonconvexregularizationmodel AT yefangjie researchonaninversesyntheticapertureradarimagingalgorithmbasedonnonconvexregularizationmodel AT wangchao researchonaninversesyntheticapertureradarimagingalgorithmbasedonnonconvexregularizationmodel AT yangfengyuan researchonaninversesyntheticapertureradarimagingalgorithmbasedonnonconvexregularizationmodel AT zhufeng researchonaninversesyntheticapertureradarimagingalgorithmbasedonnonconvexregularizationmodel |