A Novel Keystone Transform Based Algorithm for Moving Target Imaging with Radon Transform and Fractional Fourier Transform Involved

被引：0
|
作者：
Yang, Jiefang [1 ,2 ]
Zhang, Yunhua [1 ]
机构：
[1] Chinese Acad Sci, Key Lab Microwave Remote Sensing, Beijing 100864, Peoples R China
[2] Univ Chinese Acad Sci, Beijing, Peoples R China
来源：
PIERS 2014 GUANGZHOU: PROGRESS IN ELECTROMAGNETICS RESEARCH SYMPOSIUM | 2014年
关键词：
SAR;
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 propose a novel algorithm for SAR ground moving target imaging (SAR/GMTI) and motion parameters estimation (MPE) in consideration of Doppler ambiguity. This algorithm involves the keystone transform (KT) and the modified second-order keystone transform (MSKT), Radon transform (RT) and Fractional Fourier transform (FrFT). With this algorithm, the fast moving targets can be focused well and the motion parameters can be estimated accurately even in situation of Doppler ambiguity. The effectiveness of the proposed algorithm is demonstrated by processing the simulated airborne SAR data.
引用
收藏
页码：1406 / 1410
页数：5
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