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基于修正均匀冗余阵列正反编码的稀疏阵列SAR下视三维成像处理

田鹤 李道京 潘洁 周建卫

田鹤, 李道京, 潘洁, 周建卫. 基于修正均匀冗余阵列正反编码的稀疏阵列SAR下视三维成像处理[J]. 电子与信息学报, 2017, 39(9): 2203-2211. doi: 10.11999/JEIT161209
引用本文: 田鹤, 李道京, 潘洁, 周建卫. 基于修正均匀冗余阵列正反编码的稀疏阵列SAR下视三维成像处理[J]. 电子与信息学报, 2017, 39(9): 2203-2211. doi: 10.11999/JEIT161209
TIAN He, LI Daojing, PAN Jie, ZHOU Jianwei. Downward-looking 3D Imaging Processing of Sparse Array SAR Based on Modified Uniformly Redundant Arrays Positive and Negative Coding[J]. Journal of Electronics & Information Technology, 2017, 39(9): 2203-2211. doi: 10.11999/JEIT161209
Citation: TIAN He, LI Daojing, PAN Jie, ZHOU Jianwei. Downward-looking 3D Imaging Processing of Sparse Array SAR Based on Modified Uniformly Redundant Arrays Positive and Negative Coding[J]. Journal of Electronics & Information Technology, 2017, 39(9): 2203-2211. doi: 10.11999/JEIT161209

基于修正均匀冗余阵列正反编码的稀疏阵列SAR下视三维成像处理

doi: 10.11999/JEIT161209
基金项目: 

国家自然科学基金(61271422)

Downward-looking 3D Imaging Processing of Sparse Array SAR Based on Modified Uniformly Redundant Arrays Positive and Negative Coding

Funds: 

The National Natural Science Foundation of China (61271422)

  • 摘要: 该文研究基于频分正交信号的机载交轨稀疏阵列SAR下视3维成像问题。为解决孔径综合方法带来的重复频率高、数据冗余量大和运动补偿等问题,提出一种基于修正均匀冗余阵列(Modified Uniformly Redundant Arrays, MURA)编码和干涉处理频域稀疏的3维成像方法,直接在距离频域稀疏采样条件下对目标场景进行下视3维成像。引入MURA编码对回波数据在阵列采样平面进行正反编码调制,分别获得两幅3维复图像,并通过干涉处理使信号3维频谱集中在低频段,利用频域低通滤波或压缩感知(Compressed Sensing,CS)实现目标场景3维成像。该方法具有回波数据利用率高和工作重复频率低的特点。仿真分析和试验数据验证了方法的有效性。
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出版历程
  • 收稿日期:  2016-11-09
  • 修回日期:  2017-06-20
  • 刊出日期:  2017-09-19

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