聚束模式SAR连续缺失数据的高分辨成像方法

段化军; 朱岱寅; 毛新华; 吴迪

doi:10.11999/JEIT150575

聚束模式SAR连续缺失数据的高分辨成像方法

doi: 10.11999/JEIT150575

基金项目:

国家自然科学基金(61301210, 61301212)，航空科学基金(20132007001, 20142052020, 20142052021)，江苏省研究生培养创新工程(SJLX_0131)

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出版历程
- 收稿日期: 2015-05-15
- 修回日期: 2015-12-02
- 刊出日期: 2016-03-19

High-resolution Imaging for Spotlight Mode SAR from Gapped-data

Funds:

The National Natural Science Foundation of China (61301210, 61301212), Aeronautical Science Foundation of China (20132007001, 20142052020, 20142052021), Innovation Project of Jiangsu Province (SJLX_0131)

摘要

摘要: 目前基于缺失数据的幅度相位估计算法(GAPES)的SAR成像算法都没有考虑距离徙动和相位误差问题而导致图像质量下降。该文提出一种基于GAPES的聚束模式SAR方位向连续缺失数据的高分辨成像方法。在处理过程中，通过对连续缺失数据2维插值实现距离徙动校正，然后利用稀疏数据投影近似子空间跟踪算法实现相位误差补偿，保证了图像的分辨率。仿真和实测数据的处理结果证明了该方法的有效性。
- 缺失数据的幅度和相位估计 /
- 距离向插值 /
- 方位向插值 /
- 距离徙动校正 /
- 投影近似子空间跟踪
Abstract: The existing approaches with missing data for SAR by Gapped-data Amplitude and Phase EStimation (GAPES) ignore the range migration and phase error, which lead to the decrease of the imaging quality. An imaging method of gapped-data for spotlight mode SAR based on GAPES is presented. It can correct the range migration using two-dimensional interpolation, realize autofucus from sparse data by sparse project approximation subspace tracking algorithm, and ensure the resolution of the image. The simulations and real data processing results show the validity of the proposed approach.
- Gapped-data Amplitude and Phase EStimation (GAPES) /
- Range interpolation /
- Azimuth interpolation /
- Range migration correction /
- Projection Approximation Subspace Tracking (PAST)

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参考文献(24)

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