A Frequency-Domain Imaging Algorithm for Translational Variant Bistatic Forward-Looking SAR

被引：27

作者：

Mei, Haiwen ^{[1
,2
]}

Li, Yachao ^{[1
,2
]}

Xing, Mengdao ^{[1
,2
]}

Quan, Yinghui ^{[1
,2
]}

Wu, Chunfeng ^{[3
]}

机构：

[1] Xidian Univ, Natl Lab Radar Signal Proc, Xian 710071, Peoples R China

[2] Xidian Univ, Collaborat Innovat Ctr Informat Sensing & Underst, Xian 710071, Peoples R China

[3] Chengdu Aerosp Sci & Technol, Microelect Syst Res Inst, Chengdu 610015, Peoples R China

来源：

IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING | 2020年 / 58卷 / 03期

基金：

国家重点研发计划; 中国国家自然科学基金;

关键词：

Imaging; Azimuth; TV; Synthetic aperture radar; Doppler effect; Transmitters; Frequency-domain analysis; Coupling characteristic; nonlinear chirp scaling (NCS); space variance; translational variant bistatic forward-looking synthetic aperture radar (TV BFSAR); RANGE-DOPPLER; RESOLUTION; PROPERTY;

D O I：

10.1109/TGRS.2019.2943743

中图分类号：

P3 [地球物理学]; P59 [地球化学];

学科分类号：

0708 ; 070902 ;

摘要：

Bistatic forward-looking synthetic aperture radar (BFSAR) breaks through the limitations of the conventional monostatic SAR on the forward-looking imaging. However, the problems of range cell migration (RCM) caused by the linear range walk and 2-D spatial variability of Doppler parameters become more serious and complicated in translational variant BFSAR. In this article, a keystone transform is introduced to correct the linear RCM. Based on the characteristics of a small aperture, the nonlinear chirp scaling (NCS) is discussed in the frequency domain to equalize the azimuth-range-dependent Doppler parameters. The improved NCS in our newly proposed BFSAR imaging algorithm, especially the re-definition of range direction and the model of spatial variant phase, differentiates this article from all the existing studies in the literature on BFSAR signal processing. Simulation results and real data processing further validate the effectiveness of the proposed algorithm.

引用

页码：1502 / 1515

页数：14

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