摘要详情
6 / 2024-07-12 09:34:30
Spaceborne ISAR Imaging for Noncooperative Air Targets Based on Parametric Minimum Entropy Optimization
Spaceborne ISAR,Complex Motion Compensation
摘要待审
The spaceborne Inverse Synthetic Aperture Radar (ISAR) has received significant attention due to its extensive observation range and imaging performance. However, the complex motion between spaceborne platform and the air target will lead to a variation of slant distance and a nonstationary image projection plane, which will cause the one-dimension (1D) and the two-dimension (2D) spatial-variant phase errors, respectively. To address the phase errors problem, we construct a spaceborne ISAR imaging model of the air targets at first, which considers the target rotation and the variation of radar line of sight (RLOS), and the phase errors model is deduced furtherly. Next, a parametric optimization algorithm based on the minimum image entropy search using a gradient-based iterative solver is proposed. Meanwhile, in order to increase the robustness of the algorithm, we propose a data-based rough estimation method of the initial values of motion parameters. Finally, a well-focused ISAR image can be obtained by compensating the estimated phase errors parameters. The effectiveness and superiority of the proposed algorithm is validated by the simulation results compared with some existing algorithms under different SNR conditions.
重要日期
-
会议日期
09月20日
2024
至09月22日
2024
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08月30日 2024
初稿截稿日期
-
09月22日 2024
注册截止日期
主办单位
山东省人民政府
中国电子学会
中国电子学会
承办单位
中国科学院学部
中国科学院空天信创新研究所息
复旦大学
中国科学院空天信创新研究所息
复旦大学
联系方式
- 李若明
- li******@aircas.ac.cn
- 177********
- 赵丽云
- zh******@aircas.ac.cn
- 186********
- 高华
- ra******@aircas.ac.cn
- 010*********
