一种基于幅度和相位迭代重建的四维合成孔径雷达成像方法

任笑真 杨汝良

任笑真, 杨汝良. 一种基于幅度和相位迭代重建的四维合成孔径雷达成像方法[J]. 雷达学报, 2016, 5(1): 65-71. doi: 10.12000/JR15135
引用本文: 任笑真, 杨汝良. 一种基于幅度和相位迭代重建的四维合成孔径雷达成像方法[J]. 雷达学报, 2016, 5(1): 65-71. doi: 10.12000/JR15135
Ren Xiaozhen, Yang Ruliang. Four-dimensional SAR Imaging Algorithm Based on Iterative Reconstruction of Magnitude and Phase[J]. Journal of Radars, 2016, 5(1): 65-71. doi: 10.12000/JR15135
Citation: Ren Xiaozhen, Yang Ruliang. Four-dimensional SAR Imaging Algorithm Based on Iterative Reconstruction of Magnitude and Phase[J]. Journal of Radars, 2016, 5(1): 65-71. doi: 10.12000/JR15135

一种基于幅度和相位迭代重建的四维合成孔径雷达成像方法

doi: 10.12000/JR15135
基金项目: 

国家自然科学基金(61201390),河南省教育厅科学技术研究重点项目(16A510004)和河南省高等学校青年骨干教师(2015GGJS038)

详细信息
    作者简介:

    任笑真(1984-),女,河南偃师人,2010年7月获得中国科学院电子学研究所通信与信息系统博士学位。现为河南工业大学副教授,硕士生导师,研究方位为合成孔径雷达成像和信号处理。E-mail:rxz235@163.com杨汝良(1943-),男,云南昆明人,1965年毕业于电子科技大学雷达系,英国ABERDEEN大学工程系高级访问学者。现为中国科学院电子学研究所航天微波遥感系统部研究员、博士生导师,从事星载、机载合成孔径雷达系统研究工作。

    通讯作者:

    任笑真rxz235@163.com

Four-dimensional SAR Imaging Algorithm Based on Iterative Reconstruction of Magnitude and Phase

Funds: 

The National Natural Science Foundation of China (61201390), The Key Scientific Research Project in Universities of Henan Province (16A510004), The Plan for Young Backbone Teacher of Henan Province (2015GGJS038)

  • 摘要: 4维合成孔径雷达获取的观测数据在基线-时间平面非均匀分布。若采用传统成像方法来获取目标散射体的高度-速率维像,则因强副瓣存在,成像效果不理想。当信号具有稀疏性时,压缩感知技术能够利用少量的信号投影值就可实现信号的准确或近似重构。然而标准的压缩感知成像方法是针对实数据进行处理,4维合成孔径雷达成像处理的数据为复数据。因此该文提出了一种基于幅度和相位迭代重建的4维合成孔径雷达成像方法。将4维合成孔径雷达高度-速率成像问题转化为目标复散射系数的幅度和相位联合重建问题,通过在成像过程中引入相位信息来改善成像质量。仿真结果验证了该算法的有效性。

     

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出版历程
  • 收稿日期:  2015-12-31
  • 修回日期:  2016-01-24

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