| 引用本文: | 周 鹏， 马明玉， 张 晰， 张振华， 张 杰. 基于相位补偿核的GNSS⁃SAR改进后向投影成像算法[J]. 雷达科学与技术, 2024, 22(3): 326-333.[点击复制] |
| ZHOU Peng, MA Mingyu, ZHANG Xi, ZHANG Zhenhua, ZHANG Jie. Improved Back Projection Imaging Algorithm for GNSS⁃SAR Based on Phase Compensation Kernel[J]. Radar Science and Technology, 2024, 22(3): 326-333.[点击复制] |
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| 摘要: |
| 在利用全球导航卫星系统反射信号（GNSS?R）的无源合成孔径雷达体制中，目前常采用后向投影算法进行成像处理，但该算法逐点精确聚焦的处理过程使得算法的运算量大。针对上述问题，提出了一种数据分块和构造相位补偿核的改进后向投影算法。改进算法对回波矩阵进行分块，将目标区域成像网格点的最长延迟距离与最短延迟距离等间隔划分，建立相位补偿核，通过距离向搜索操作得到各网格点的相位补偿结果，在方位向相干叠加形成子图，递归合并得到最终图像。定量分析得出，改进算法可有效降低运算量，同时节省内存。仿真结果验证了所提算法的有效性。 |
| 关键词: 全球导航卫星系统反射信号 合成孔径雷达 后向投影算法 相位补偿核 |
| DOI：DOI:10.3969/j.issn.1672-2337.2024.03.012 |
| 分类号:TN958.97 |
| 基金项目:国家自然科学基金区域创新发展联合基金重点支持项目（No.U22A20586）；国家自然科学基金重点项目（No.61931025）；山东省自然科学基金（No.ZR2019MF004）；国家自然科学基金（No.61971455）；中国石油大学（华东）校级教学改革项目（No.CM2022067） |
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| Improved Back Projection Imaging Algorithm for GNSS⁃SAR Based on Phase Compensation Kernel |
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ZHOU Peng, MA Mingyu, ZHANG Xi, ZHANG Zhenhua, ZHANG Jie
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1. College of Oceanography and Space Informatics, China University of Petroleum, Qingdao 266580, China;2. First Institute of Oceanography, Ministry of Natural Resources, Qingdao 266061, China;3. Beijing Research Institute of Telemetry, Beijing 100076, China
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| Abstract: |
| With regards to the passive synthetic aperture radar system using global navigation satellite system?reflectometry signals（GNSS?R）, the back projection algorithm, which is usually used for imaging, has the disadvantage of high computational complexity caused by point?by?point accurate focusing. To solve this problem, an improved back projection imaging algorithm based on partitioning data and constructing phase compensation kernel is proposed. The improved algorithm first splits the echo data matrix, then divides the longest and shortest ranges of the imaging grid points in the target area into equal intervals, and then establishes a phase compensation kernel. The phase compensation results of each grid point in the sub?matrix are obtained by range search operation, and the sub images are formed by coherent accumulation in the azimuth direction. Finally, the sub images are recursively merged to obtain the imaging results of the target area. The quantitative analysis shows that the improved algorithm can effectively reduce computational complexity and save memory. The simulation results verify the effectiveness of the proposed algorithm. |
| Key words: GNSS⁃R synthetic aperture radar back projection imaging algorithm phase compensation kernel |
