A novel TomoSAR imaging method with few observations based on nested array
Abstract Synthetic aperture radar tomography (TomoSAR) baseline optimization method is capable of reducing system complexity and improving the temporal coherence of data, which has become important research in the field of TomoSAR. A nested TomoSAR technique is proposed, which introduces the nested...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2023-06-01
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| Series: | IET Radar, Sonar & Navigation |
| Subjects: | |
| Online Access: | https://doi.org/10.1049/rsn2.12388 |
| _version_ | 1797800264738013184 |
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| author | Pengyu Jiang Zhe Zhang Bingchen Zhang Zhongqiu Xu |
| author_facet | Pengyu Jiang Zhe Zhang Bingchen Zhang Zhongqiu Xu |
| author_sort | Pengyu Jiang |
| collection | DOAJ |
| description | Abstract Synthetic aperture radar tomography (TomoSAR) baseline optimization method is capable of reducing system complexity and improving the temporal coherence of data, which has become important research in the field of TomoSAR. A nested TomoSAR technique is proposed, which introduces the nested array into TomoSAR as the baseline configuration. This technique obtains uniform and continuous difference co‐array through the nested array to increase the degrees of freedom of the system and expands the virtual aperture along the elevation direction. In order to make full use of the difference co‐array, covariance matrix of the echo needs to be obtained. Therefore, a TomoSAR sparse reconstruction algorithm based on the nested array is proposed, which uses adaptive covariance matrix estimation to improve the estimation performance in complex scenes. The effectiveness of the proposed method through simulated and real data experiments is demonstrated. Compared with traditional TomoSAR and coprime TomoSAR, the imaging results of this proposed method have better anti‐noise performance and retain more image information. |
| first_indexed | 2024-03-13T04:31:30Z |
| format | Article |
| id | doaj.art-f536dd8396134c1b8faaef03301210e8 |
| institution | Directory Open Access Journal |
| issn | 1751-8784 1751-8792 |
| language | English |
| last_indexed | 2024-03-13T04:31:30Z |
| publishDate | 2023-06-01 |
| publisher | Wiley |
| record_format | Article |
| series | IET Radar, Sonar & Navigation |
| spelling | doaj.art-f536dd8396134c1b8faaef03301210e82023-06-19T12:42:57ZengWileyIET Radar, Sonar & Navigation1751-87841751-87922023-06-0117692593810.1049/rsn2.12388A novel TomoSAR imaging method with few observations based on nested arrayPengyu Jiang0Zhe Zhang1Bingchen Zhang2Zhongqiu Xu3Key Laboratory of Technology in Geo‐Spatial Information Processing and Application System Chinese Academy of Sciences Beijing ChinaAerospace Information Research Institute Chinese Academy of Sciences Beijing ChinaKey Laboratory of Technology in Geo‐Spatial Information Processing and Application System Chinese Academy of Sciences Beijing ChinaKey Laboratory of Technology in Geo‐Spatial Information Processing and Application System Chinese Academy of Sciences Beijing ChinaAbstract Synthetic aperture radar tomography (TomoSAR) baseline optimization method is capable of reducing system complexity and improving the temporal coherence of data, which has become important research in the field of TomoSAR. A nested TomoSAR technique is proposed, which introduces the nested array into TomoSAR as the baseline configuration. This technique obtains uniform and continuous difference co‐array through the nested array to increase the degrees of freedom of the system and expands the virtual aperture along the elevation direction. In order to make full use of the difference co‐array, covariance matrix of the echo needs to be obtained. Therefore, a TomoSAR sparse reconstruction algorithm based on the nested array is proposed, which uses adaptive covariance matrix estimation to improve the estimation performance in complex scenes. The effectiveness of the proposed method through simulated and real data experiments is demonstrated. Compared with traditional TomoSAR and coprime TomoSAR, the imaging results of this proposed method have better anti‐noise performance and retain more image information.https://doi.org/10.1049/rsn2.12388covariance matricesradar imagingsynthetic aperture radartomography |
| spellingShingle | Pengyu Jiang Zhe Zhang Bingchen Zhang Zhongqiu Xu A novel TomoSAR imaging method with few observations based on nested array IET Radar, Sonar & Navigation covariance matrices radar imaging synthetic aperture radar tomography |
| title | A novel TomoSAR imaging method with few observations based on nested array |
| title_full | A novel TomoSAR imaging method with few observations based on nested array |
| title_fullStr | A novel TomoSAR imaging method with few observations based on nested array |
| title_full_unstemmed | A novel TomoSAR imaging method with few observations based on nested array |
| title_short | A novel TomoSAR imaging method with few observations based on nested array |
| title_sort | novel tomosar imaging method with few observations based on nested array |
| topic | covariance matrices radar imaging synthetic aperture radar tomography |
| url | https://doi.org/10.1049/rsn2.12388 |
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