Joint Estimation Algorithm for Azimuth Velocity and Normal Velocity of Moving Targets in Airborne Multi-channel SAR

被引：2
|
作者：
Jiang Wen [1 ,2 ,3 ]
Niu Jie [1 ,2 ,3 ]
Wu Yirong [1 ,2 ]
Liang Xingdong [1 ,2 ]
机构：
[1] Chinese Acad Sci, Aerosp Informat Res Inst, Beijing 100094, Peoples R China
[2] Natl Key Lab Microwave Imaging Technol, Beijing 100190, Peoples R China
[3] Univ Chinese Acad Sci, Beijing 100049, Peoples R China
来源：
JOURNAL OF ELECTRONICS & INFORMATION TECHNOLOGY | 2020年 / 42卷 / 06期
关键词：
Airborne multi-channel SAR; Moving target detection; Azimuth velocity; Normal velocity; Velocity estimation; SYNTHETIC-APERTURE RADAR;
D O I：
10.11999/JEIT190672
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：
Parameter estimation is essential for SAR imaging of moving targets. The existing algorithms mainly estimate the radial velocity and azimuth velocity of the moving target, but the normal velocity of the three-dimensional moving target can not be estimated. In this paper, a joint estimation algorithm of azimuth velocity and normal velocity is proposed by using an airborne multi-channel SAR system with L-shaped baseline. The algorithm extracts the moving target signal in Range-Doppler domain, and estimates the azimuth and normal velocity jointly using the phase differences between multiple SAR images. The algorithm does not rely on image registration, does not need to solve Doppler ambiguity. Therefore, the algorithm has high estimation accuracy and robustness, and has strong practical significance and application value.
引用
收藏
页码：1542 / 1548
页数：7
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