Forward-looking Imaging via Iterative Super-resolution Estimation in Airborne Multi-channel Radar
The direction of arrival estimation algorithm can overcome the Rayleigh limit, effectively separate multiple targets within the main lobe, and improve the azimuth resolution when applied to forward-looking imaging in airborne multi-channel radar. However, the limited antenna beam coverage and rapid...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
China Science Publishing & Media Ltd. (CSPM)
2023-12-01
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| Series: | Leida xuebao |
| Subjects: | |
| Online Access: | https://radars.ac.cn/cn/article/doi/10.12000/JR23085 |
| _version_ | 1827395527830929408 |
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| author | Lingyun REN Di WU Daiyin ZHU Weijie SUN |
| author_facet | Lingyun REN Di WU Daiyin ZHU Weijie SUN |
| author_sort | Lingyun REN |
| collection | DOAJ |
| description | The direction of arrival estimation algorithm can overcome the Rayleigh limit, effectively separate multiple targets within the main lobe, and improve the azimuth resolution when applied to forward-looking imaging in airborne multi-channel radar. However, the limited antenna beam coverage and rapid scanning result in a scarcity of data samples available for covariance matrix estimation, leading to direction and amplitude estimation errors. Herein, we propose a forward-looking imaging algorithm based on single-snapshot iterative super-resolution estimation. The algorithm performs single-snapshot iterative spectral estimation to accurately determine the azimuth and amplitude of the target. Subsequently, a high-resolution image is achieved through non-coherent accumulation. Simulation and experimental data processing results show that the proposed algorithm can resolve multiple targets, significantly improving the azimuth resolution of the forward-looking image compared with traditional forward-looking imaging algorithms. Moreover, it ensures the accurate reconstruction of point targets and contour reconstruction of area targets. |
| first_indexed | 2024-03-08T18:35:31Z |
| format | Article |
| id | doaj.art-31b5b03359c74528b40c0e133d61d307 |
| institution | Directory Open Access Journal |
| issn | 2095-283X |
| language | English |
| last_indexed | 2024-03-08T18:35:31Z |
| publishDate | 2023-12-01 |
| publisher | China Science Publishing & Media Ltd. (CSPM) |
| record_format | Article |
| series | Leida xuebao |
| spelling | doaj.art-31b5b03359c74528b40c0e133d61d3072023-12-29T12:27:27ZengChina Science Publishing & Media Ltd. (CSPM)Leida xuebao2095-283X2023-12-011261166117810.12000/JR23085R23085Forward-looking Imaging via Iterative Super-resolution Estimation in Airborne Multi-channel RadarLingyun REN0Di WU1Daiyin ZHU2Weijie SUN3College of Electronic Information Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 211106, ChinaCollege of Electronic Information Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 211106, ChinaCollege of Electronic Information Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 211106, ChinaCollege of Electronic Information Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 211106, ChinaThe direction of arrival estimation algorithm can overcome the Rayleigh limit, effectively separate multiple targets within the main lobe, and improve the azimuth resolution when applied to forward-looking imaging in airborne multi-channel radar. However, the limited antenna beam coverage and rapid scanning result in a scarcity of data samples available for covariance matrix estimation, leading to direction and amplitude estimation errors. Herein, we propose a forward-looking imaging algorithm based on single-snapshot iterative super-resolution estimation. The algorithm performs single-snapshot iterative spectral estimation to accurately determine the azimuth and amplitude of the target. Subsequently, a high-resolution image is achieved through non-coherent accumulation. Simulation and experimental data processing results show that the proposed algorithm can resolve multiple targets, significantly improving the azimuth resolution of the forward-looking image compared with traditional forward-looking imaging algorithms. Moreover, it ensures the accurate reconstruction of point targets and contour reconstruction of area targets.https://radars.ac.cn/cn/article/doi/10.12000/JR23085doa estimationforward-looking imagingsingle snapshotiterative super-resolutioniterative minimum mean square error |
| spellingShingle | Lingyun REN Di WU Daiyin ZHU Weijie SUN Forward-looking Imaging via Iterative Super-resolution Estimation in Airborne Multi-channel Radar Leida xuebao doa estimation forward-looking imaging single snapshot iterative super-resolution iterative minimum mean square error |
| title | Forward-looking Imaging via Iterative Super-resolution Estimation in Airborne Multi-channel Radar |
| title_full | Forward-looking Imaging via Iterative Super-resolution Estimation in Airborne Multi-channel Radar |
| title_fullStr | Forward-looking Imaging via Iterative Super-resolution Estimation in Airborne Multi-channel Radar |
| title_full_unstemmed | Forward-looking Imaging via Iterative Super-resolution Estimation in Airborne Multi-channel Radar |
| title_short | Forward-looking Imaging via Iterative Super-resolution Estimation in Airborne Multi-channel Radar |
| title_sort | forward looking imaging via iterative super resolution estimation in airborne multi channel radar |
| topic | doa estimation forward-looking imaging single snapshot iterative super-resolution iterative minimum mean square error |
| url | https://radars.ac.cn/cn/article/doi/10.12000/JR23085 |
| work_keys_str_mv | AT lingyunren forwardlookingimagingviaiterativesuperresolutionestimationinairbornemultichannelradar AT diwu forwardlookingimagingviaiterativesuperresolutionestimationinairbornemultichannelradar AT daiyinzhu forwardlookingimagingviaiterativesuperresolutionestimationinairbornemultichannelradar AT weijiesun forwardlookingimagingviaiterativesuperresolutionestimationinairbornemultichannelradar |