DOWN-LOOKING SPARSE LINEAR ARRAY 3-D SAR IMAGING BASED ON MOTION COMPENSATION

被引：0

作者：

Liu, Qi-yong ^{[1
,2
]}

Li, Kai-ming ^{[1
,2
]}

Huo, Wen-jun ^{[3
]}

Ma, Zhi-qiang ^{[1
]}

Gu, Fu-fei ^{[4
]}

机构：

[1] Air Force Engn Univ, Inst Informat & Nav, Xian, Shaanxi, Peoples R China

[2] Collaborat Innovat Ctr Informat Sensing & Underst, Xian 710077, Shaanxi, Peoples R China

[3] Xijing Univ, Xian 710123, Shaanxi, Peoples R China

[4] China Satellite Maritime Tracking & Control Dept, Jiangyin 214431, Peoples R China

来源：

IGARSS 2018 - 2018 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM | 2018年

基金：

中国国家自然科学基金;

关键词：

Entropy; motion error; compressed sensing;

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

In this paper, we proposed a method based on the minimum entropy principle to compensate the motion error. Since the impact of air disturbance and the flight attitude, there is a motion error of the platform motion. The motion error will cause the imaging defocusing, which will influence the quality of the imaging. Firstly, we established the imaging model of down-looking sparse linear array 3-D SAR imaging with motion error. Then, the impact of motion error is analyzed. A method based on minimum entropy principle is proposed to compensate the motion error. Finally, the cross-track signal reconstruction is finished by the compressed sensing. Experimental results demonstrated the effectiveness of the proposed method.

引用

页码：569 / 572

页数：4

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