Moving Target Monitoring Algorithm Based on High-frame-rate SAR Images
To alleviate the difficulty in monitoring a moving target under a low signal-to-clutter-noise ratio, this paper proposes a moving target monitoring method with high frame-rate spaceborne Synthetic Aperture Radar (SAR) images. First, based on the detection mechanism, current spaceborne SAR moving tar...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
China Science Publishing & Media Ltd. (CSPM)
2022-12-01
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| Series: | Leida xuebao |
| Subjects: | |
| Online Access: | https://radars.ac.cn/cn/article/doi/10.12000/JR22184 |
| _version_ | 1797429236821131264 |
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| author | Jie CHEN Wei YANG Yamin WANG Chunsheng LI |
| author_facet | Jie CHEN Wei YANG Yamin WANG Chunsheng LI |
| author_sort | Jie CHEN |
| collection | DOAJ |
| description | To alleviate the difficulty in monitoring a moving target under a low signal-to-clutter-noise ratio, this paper proposes a moving target monitoring method with high frame-rate spaceborne Synthetic Aperture Radar (SAR) images. First, based on the detection mechanism, current spaceborne SAR moving target detection methods are divided into three categories, and a comparative analysis is performed. Second, the acquisition method of a high-frame-rate SAR image sequence is analyzed based on the staring observation mode. Then, the moving target detection is equated to one-dimensional transient weakly perturbed signal detection with unknown scale and arrival time. Next, the sinc-function form of moving target perturbation between high-frame-frequency SAR images, slowly changing background clutter, and irregular fast-changing state of system noise are analyzed theoretically. To separate the target, clutter, and noise, the deep correlation of the moving target in high-dimensional space is realized based on the kernel function mechanism. Finally, the effectiveness of the proposed method is verified by simulation experiments and real SAR data, and under a low signal-to-clutter-noise ratio, the detection performance of the proposed method is better than the traditional method of constant false alarm rate. |
| first_indexed | 2024-03-09T09:10:18Z |
| format | Article |
| id | doaj.art-c00ecdeba79944b3a864fca2f3bfb7b7 |
| institution | Directory Open Access Journal |
| issn | 2095-283X |
| language | English |
| last_indexed | 2024-03-09T09:10:18Z |
| publishDate | 2022-12-01 |
| publisher | China Science Publishing & Media Ltd. (CSPM) |
| record_format | Article |
| series | Leida xuebao |
| spelling | doaj.art-c00ecdeba79944b3a864fca2f3bfb7b72023-12-02T09:10:55ZengChina Science Publishing & Media Ltd. (CSPM)Leida xuebao2095-283X2022-12-011161048106010.12000/JR22184R22184Moving Target Monitoring Algorithm Based on High-frame-rate SAR ImagesJie CHEN0Wei YANG1Yamin WANG2Chunsheng LI3School of Electronic and Information Engineering, Beihang University, Beijing 100191, ChinaSchool of Electronic and Information Engineering, Beihang University, Beijing 100191, ChinaSchool of Electronic and Information Engineering, Beihang University, Beijing 100191, ChinaSchool of Electronic and Information Engineering, Beihang University, Beijing 100191, ChinaTo alleviate the difficulty in monitoring a moving target under a low signal-to-clutter-noise ratio, this paper proposes a moving target monitoring method with high frame-rate spaceborne Synthetic Aperture Radar (SAR) images. First, based on the detection mechanism, current spaceborne SAR moving target detection methods are divided into three categories, and a comparative analysis is performed. Second, the acquisition method of a high-frame-rate SAR image sequence is analyzed based on the staring observation mode. Then, the moving target detection is equated to one-dimensional transient weakly perturbed signal detection with unknown scale and arrival time. Next, the sinc-function form of moving target perturbation between high-frame-frequency SAR images, slowly changing background clutter, and irregular fast-changing state of system noise are analyzed theoretically. To separate the target, clutter, and noise, the deep correlation of the moving target in high-dimensional space is realized based on the kernel function mechanism. Finally, the effectiveness of the proposed method is verified by simulation experiments and real SAR data, and under a low signal-to-clutter-noise ratio, the detection performance of the proposed method is better than the traditional method of constant false alarm rate.https://radars.ac.cn/cn/article/doi/10.12000/JR22184low signal-to-clutter-noise ratiospaceborne sarweak perturbationhigh-frame-ratedeep correlation |
| spellingShingle | Jie CHEN Wei YANG Yamin WANG Chunsheng LI Moving Target Monitoring Algorithm Based on High-frame-rate SAR Images Leida xuebao low signal-to-clutter-noise ratio spaceborne sar weak perturbation high-frame-rate deep correlation |
| title | Moving Target Monitoring Algorithm Based on High-frame-rate SAR Images |
| title_full | Moving Target Monitoring Algorithm Based on High-frame-rate SAR Images |
| title_fullStr | Moving Target Monitoring Algorithm Based on High-frame-rate SAR Images |
| title_full_unstemmed | Moving Target Monitoring Algorithm Based on High-frame-rate SAR Images |
| title_short | Moving Target Monitoring Algorithm Based on High-frame-rate SAR Images |
| title_sort | moving target monitoring algorithm based on high frame rate sar images |
| topic | low signal-to-clutter-noise ratio spaceborne sar weak perturbation high-frame-rate deep correlation |
| url | https://radars.ac.cn/cn/article/doi/10.12000/JR22184 |
| work_keys_str_mv | AT jiechen movingtargetmonitoringalgorithmbasedonhighframeratesarimages AT weiyang movingtargetmonitoringalgorithmbasedonhighframeratesarimages AT yaminwang movingtargetmonitoringalgorithmbasedonhighframeratesarimages AT chunshengli movingtargetmonitoringalgorithmbasedonhighframeratesarimages |