Time-Domain Azimuth-Variant MOCO Algorithm for Airborne SAR Imaging

被引：13

作者：

Meng, Zhichao ^{[1
]}

Zhang, Lei ^{[1
]}

Li, Jun ^{[2
]}

Lu, Jingyue ^{[3
,4
]}

Li, Yachao ^{[3
,4
]}

机构：

[1] Sun Yat Sen Univ, Sch Elect & Commun Engn, Shenzhen 518107, Peoples R China

[2] Beijing Inst Radio Measurement, Beijing 100854, Peoples R China

[3] Xidian Univ, Sch Comp Sci & Technol, Xian 710071, Peoples R China

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

来源：

IEEE GEOSCIENCE AND REMOTE SENSING LETTERS | 2022年 / 19卷

关键词：

Doppler effect; Synthetic aperture radar; Time-domain analysis; Azimuth; Signal processing algorithms; Radar polarimetry; Geometry; Azimuth-variant; motion compensation (MOCO); subaperture-to-pulse; synthetic aperture radar (SAR); DEPENDENT MOTION COMPENSATION; SUBAPERTURE ALGORITHM;

D O I：

10.1109/LGRS.2022.3177734

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：

Current subaperture-based azimuth-variant motion compensation (MOCO) algorithms for synthetic aperture radar (SAR) imagery usually suffer from the challenge of keeping high precision and efficiency simultaneously. In this letter, a novel MOCO approach is developed to precisely correct the azimuth-variant motion errors. The proposed algorithm applies a time-domain filter to implement the precise subaperture-to-pulse correction, providing a promising azimuth-variant phase correction. Extensive experiments demonstrate the superiorities of the proposal with real-measured high-squint SAR data.

引用

页数：5

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