A High-Resolution Airborne SAR Autofocusing Approach Based on SR-PGA and Subimage Resampling With Precise Hyperbolic Model

High-resolution airborne synthetic aperture radar imaging requires long synthetic aperture time (LSAT). However, the LSAT invalidates the Fresnel approximation in the traditional autofocusing method, leaving a residual signal phase in the motion error. To solve the problem, a signal-reconstruction-b...

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Main Authors: Yuhui Deng, Hui Wang, Guang-Cai Sun, Yong Wang, Wenkang Liu, Jun Yang, Mengdao Xing
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Subjects:
Online Access:https://ieeexplore.ieee.org/document/10032728/
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author Yuhui Deng
Hui Wang
Guang-Cai Sun
Yong Wang
Wenkang Liu
Jun Yang
Mengdao Xing
author_facet Yuhui Deng
Hui Wang
Guang-Cai Sun
Yong Wang
Wenkang Liu
Jun Yang
Mengdao Xing
author_sort Yuhui Deng
collection DOAJ
description High-resolution airborne synthetic aperture radar imaging requires long synthetic aperture time (LSAT). However, the LSAT invalidates the Fresnel approximation in the traditional autofocusing method, leaving a residual signal phase in the motion error. To solve the problem, a signal-reconstruction-based phase gradient autofocus (SR-PGA) and a subimage resampling (SIR) methods are proposed. They are developed on the hyperbolic model. First, a subaperture division strategy divides the full-aperture high-order error into multiple low-order subaperture errors (SPEs). Then, the SR-PGA is developed to estimate the SPE, in which the precise deramping is reconstructed to eliminate the residual signal phase in the SPE. Third, the SIR is proposed to eliminate residual Doppler-variant shift of the adjacent subimages, improving the accuracy of the SPE combination. Finally, simulation and actual data processing verify the effectiveness and validity of the algorithm.
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spelling doaj.art-8425e70985974a36b3f427074ec2a8942023-03-03T00:00:06ZengIEEEIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing2151-15352023-01-01162327233810.1109/JSTARS.2023.324116910032728A High-Resolution Airborne SAR Autofocusing Approach Based on SR-PGA and Subimage Resampling With Precise Hyperbolic ModelYuhui Deng0https://orcid.org/0000-0001-5927-9905Hui Wang1https://orcid.org/0000-0002-9567-6227Guang-Cai Sun2https://orcid.org/0000-0002-6482-0863Yong Wang3https://orcid.org/0000-0003-3366-3137Wenkang Liu4https://orcid.org/0000-0002-4880-0897Jun Yang5Mengdao Xing6https://orcid.org/0000-0002-4084-0915National Laboratory of Radar Signal Processing, Xidian University, Xi'an, ChinaKey Laboratory of Millimeter Wave Imaging Technology, Shanghai Institute of Satellites Engineering, Shanghai, ChinaNational Laboratory of Radar Signal Processing, Xidian University, Xi'an, ChinaSchool of Resources and Environment, University of Electronic Science and Technology of China, Chengdu, ChinaAcademy of Advanced Interdisciplinary Research, Xidian University, Xi'an, ChinaCollege of Geomatics, Xi'an University of Science and Technology, Xi'an, ChinaNational Laboratory of Radar Signal Processing and the Academy of Advanced Interdisciplinary Research, Xidian University, Xi'an, ChinaHigh-resolution airborne synthetic aperture radar imaging requires long synthetic aperture time (LSAT). However, the LSAT invalidates the Fresnel approximation in the traditional autofocusing method, leaving a residual signal phase in the motion error. To solve the problem, a signal-reconstruction-based phase gradient autofocus (SR-PGA) and a subimage resampling (SIR) methods are proposed. They are developed on the hyperbolic model. First, a subaperture division strategy divides the full-aperture high-order error into multiple low-order subaperture errors (SPEs). Then, the SR-PGA is developed to estimate the SPE, in which the precise deramping is reconstructed to eliminate the residual signal phase in the SPE. Third, the SIR is proposed to eliminate residual Doppler-variant shift of the adjacent subimages, improving the accuracy of the SPE combination. Finally, simulation and actual data processing verify the effectiveness and validity of the algorithm.https://ieeexplore.ieee.org/document/10032728/Doppler subimage resamplinghyperbolic modellong synthetic apertureSAR autofocusingsignal-reconstruction-based phase gradient autofocus (SR-PGA)synthetic aperture radar (SAR)
spellingShingle Yuhui Deng
Hui Wang
Guang-Cai Sun
Yong Wang
Wenkang Liu
Jun Yang
Mengdao Xing
A High-Resolution Airborne SAR Autofocusing Approach Based on SR-PGA and Subimage Resampling With Precise Hyperbolic Model
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Doppler subimage resampling
hyperbolic model
long synthetic aperture
SAR autofocusing
signal-reconstruction-based phase gradient autofocus (SR-PGA)
synthetic aperture radar (SAR)
title A High-Resolution Airborne SAR Autofocusing Approach Based on SR-PGA and Subimage Resampling With Precise Hyperbolic Model
title_full A High-Resolution Airborne SAR Autofocusing Approach Based on SR-PGA and Subimage Resampling With Precise Hyperbolic Model
title_fullStr A High-Resolution Airborne SAR Autofocusing Approach Based on SR-PGA and Subimage Resampling With Precise Hyperbolic Model
title_full_unstemmed A High-Resolution Airborne SAR Autofocusing Approach Based on SR-PGA and Subimage Resampling With Precise Hyperbolic Model
title_short A High-Resolution Airborne SAR Autofocusing Approach Based on SR-PGA and Subimage Resampling With Precise Hyperbolic Model
title_sort high resolution airborne sar autofocusing approach based on sr pga and subimage resampling with precise hyperbolic model
topic Doppler subimage resampling
hyperbolic model
long synthetic aperture
SAR autofocusing
signal-reconstruction-based phase gradient autofocus (SR-PGA)
synthetic aperture radar (SAR)
url https://ieeexplore.ieee.org/document/10032728/
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