Efficient Fast Time-Domain Processing Framework for Airborne Bistatic SAR Continuous Imaging Integrated With Data-Driven Motion Compensation

被引:13
作者
Xu, Gaotian [1 ]
Zhou, Song [1 ]
Yang, Lei [2 ]
Deng, Suhui [1 ]
Wang, Yuhao [1 ]
Xing, Mengdao [3 ,4 ]
机构
[1] Nanchang Univ, Sch Informat Engn, Nanchang 330031, Jiangxi, Peoples R China
[2] Civil Aviat Univ China, Tianjin Key Lab Adv Signal Proc, Tianjin 300300, Peoples R China
[3] Xidian Univ, Natl Lab Radar Signal Proc, Xian 710071, Peoples R China
[4] Xidian Univ, Collaborat Innovat Ctr Informat Sensing & Underst, Xian 710071, Peoples R China
来源
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING | 2022年 / 60卷
基金
中国国家自然科学基金;
关键词
Imaging; Signal processing algorithms; Azimuth; Synthetic aperture radar; Image reconstruction; Time-domain analysis; Focusing; Bistatic synthetic aperture radar (BiSAR); continuous imaging; fast factorized back-projection (FFBP); fast time-domain algorithm (FTDA); motion compensation (MOCO); FACTORIZED BACK-PROJECTION; SYNTHETIC-APERTURE RADAR; HIGH-RESOLUTION; BACKPROJECTION ALGORITHM; PHASE-ERROR; AUTOFOCUS;
D O I
10.1109/TGRS.2021.3099204
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
Fast factorized back-projection (FFBP) is a classic fast time-domain algorithm (FTDA), which is not limited by the assumption of azimuth-invariant of echo signal and is suitable for the bistatic synthetic aperture radar (BiSAR) process of arbitrary geometric configuration. However, when the conventional FFBP processing is employed for continuous imaging of multiple full-apertures, the processing efficiency will be decreased significantly, and difficulty will be introduced in motion compensation (MOCO) development. The main contributions in this article include the following two aspects: 1) a new FTDA framework based on FFBP implementation is developed for continuous imaging where echo data are divided into several full-aperture data blocks and then processed separately by FFBP implementation to reduce redundant BP operations for achieving high efficiency and 2) an efficient and effective data-driven MOCO methodology is developed based on the new FTDA framework for high focusing quality. In MOCO, because the phase error functions of subimages are estimated in the phase history domain from different local polar coordinate systems, these phase error functions are actually discontinuous in the spatial domain, which will bring significant discontinuity and defocusing into the final image. To address this problem, the correspondence of error functions between the spatial domain and the wavenumber domain is revealed based on which the phase error functions are reconstructed to remove the discontinuity for high focusing quality. Promising results from both simulation and raw data experiments are provided and analyzed to validate the high performance of the proposed algorithm.
引用
收藏
页数:15
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