A 2-D Space-Variant Motion Estimation and Compensation Method for Ultrahigh-Resolution Airborne Stepped-Frequency SAR With Long Integration Time

被引:60
作者
Chen, Jianlai [1 ]
Xing, Mengdao [1 ]
Sun, Guang-Cai [1 ]
Li, Zhenyu [1 ]
机构
[1] Xidian Univ, Natl Lab Radar Signal Proc, Xian 710071, Shaanxi, Peoples R China
来源
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING | 2017年 / 55卷 / 11期
基金
中国国家自然科学基金;
关键词
Chirp-z transform (CZT); long integration time; range block; space-variant motion compensation (SV-MOCO); ultrahigh-resolution airborne stepped-frequency synthetic aperture radar (SAR); SYNTHETIC-APERTURE RADAR; ERROR ESTIMATION; PHASE ERROR; RAW DATA; AUTOFOCUS; IMAGERY; ALGORITHM;
D O I
10.1109/TGRS.2017.2727060
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
For the ultrahigh-resolution airborne stepped-frequency synthetic aperture radar, very large synthetic bandwidth and very long integration time may lead to a 2-D space-variant (SV) motion error when the aircraft flies off the ideally straight trajectory due to the atmospheric turbulence. This new type of error complicates the motion estimation and motion compensation (MOCO). For the motion estimation, we present a jointly 2-D SV motion error estimation method to simultaneously consider the range-variant motion error and the azimuth-variant motion error. For the MOCO, we propose a 2-D SV-MOCO method. The method is implemented through three processing steps: 1) two-step MOCO for the space-invariant motion error and the range-variant phase error; 2) range block-based chirp-z transform (CZT) for the range-variant envelope error; and 3) range block division for the range-dependent azimuth-variant phase error based on the azimuth subaperture method. Finally, processing of simulated data and real data validates the proposed methods.
引用
收藏
页码:6390 / 6401
页数:12
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