ISAR Imaging of Non-Stationary Moving Target Based on Parameter Estimation and Sparse Decomposition
This paper studies the inverse synthetic aperture radar imaging problem for a non-stationary moving target and proposes a non-search imaging method based on parameter estimation and sparse decomposition. The echoes received by radar can be thought of as consisting of chirp signals with varying chirp...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2023-04-01
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| Series: | Remote Sensing |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2072-4292/15/9/2368 |
| _version_ | 1797601730005827584 |
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| author | Can Liu Yunhua Luo Zhongjun Yu Jie Feng |
| author_facet | Can Liu Yunhua Luo Zhongjun Yu Jie Feng |
| author_sort | Can Liu |
| collection | DOAJ |
| description | This paper studies the inverse synthetic aperture radar imaging problem for a non-stationary moving target and proposes a non-search imaging method based on parameter estimation and sparse decomposition. The echoes received by radar can be thought of as consisting of chirp signals with varying chirp rates and center frequencies. Lv’s distribution (LVD) is introduced to accurately estimate these parameters. Considering their inherent sparsity, the signals are reconstructed via sparse representation using a redundant chirp dictionary. An efficient algorithm is developed to tackle the optimization problem for sparse decompositions. Then, by using the reconstructed data, adaptive joint time–frequency imaging techniques are employed to create high-quality images of the non-stationary moving target. Finally, the simulated experiments and measured data processing results confirm the proposed method’s validity. |
| first_indexed | 2024-03-11T04:07:49Z |
| format | Article |
| id | doaj.art-4662be2632674cde9913689e90c37521 |
| institution | Directory Open Access Journal |
| issn | 2072-4292 |
| language | English |
| last_indexed | 2024-03-11T04:07:49Z |
| publishDate | 2023-04-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Remote Sensing |
| spelling | doaj.art-4662be2632674cde9913689e90c375212023-11-17T23:39:11ZengMDPI AGRemote Sensing2072-42922023-04-01159236810.3390/rs15092368ISAR Imaging of Non-Stationary Moving Target Based on Parameter Estimation and Sparse DecompositionCan Liu0Yunhua Luo1Zhongjun Yu2Jie Feng3Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100080, ChinaAerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100080, ChinaAerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100080, ChinaAerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100080, ChinaThis paper studies the inverse synthetic aperture radar imaging problem for a non-stationary moving target and proposes a non-search imaging method based on parameter estimation and sparse decomposition. The echoes received by radar can be thought of as consisting of chirp signals with varying chirp rates and center frequencies. Lv’s distribution (LVD) is introduced to accurately estimate these parameters. Considering their inherent sparsity, the signals are reconstructed via sparse representation using a redundant chirp dictionary. An efficient algorithm is developed to tackle the optimization problem for sparse decompositions. Then, by using the reconstructed data, adaptive joint time–frequency imaging techniques are employed to create high-quality images of the non-stationary moving target. Finally, the simulated experiments and measured data processing results confirm the proposed method’s validity.https://www.mdpi.com/2072-4292/15/9/2368inverse synthetic aperture radar (ISAR) imagingtime–frequency analysisLv’s distributionsparse recoverynon-stationary moving target |
| spellingShingle | Can Liu Yunhua Luo Zhongjun Yu Jie Feng ISAR Imaging of Non-Stationary Moving Target Based on Parameter Estimation and Sparse Decomposition Remote Sensing inverse synthetic aperture radar (ISAR) imaging time–frequency analysis Lv’s distribution sparse recovery non-stationary moving target |
| title | ISAR Imaging of Non-Stationary Moving Target Based on Parameter Estimation and Sparse Decomposition |
| title_full | ISAR Imaging of Non-Stationary Moving Target Based on Parameter Estimation and Sparse Decomposition |
| title_fullStr | ISAR Imaging of Non-Stationary Moving Target Based on Parameter Estimation and Sparse Decomposition |
| title_full_unstemmed | ISAR Imaging of Non-Stationary Moving Target Based on Parameter Estimation and Sparse Decomposition |
| title_short | ISAR Imaging of Non-Stationary Moving Target Based on Parameter Estimation and Sparse Decomposition |
| title_sort | isar imaging of non stationary moving target based on parameter estimation and sparse decomposition |
| topic | inverse synthetic aperture radar (ISAR) imaging time–frequency analysis Lv’s distribution sparse recovery non-stationary moving target |
| url | https://www.mdpi.com/2072-4292/15/9/2368 |
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