Paper Info
Title
A Robust Image-Domain Subspace-Based Channel Error Calibration and Postimaging Reconstruction Algorithm for Multiple Azimuth Channels SAR
Abstract
High resolution and wide-swath imaging always suffer channel errors of the multiple azimuth channels (MACs) synthesis aperture radar (SAR). This article presents an image-domain channel error estimation algorithm based on image subspace least square (ISP-LS) method and a postimaging reconstruction algorithm for MACs SAR. The proposed method mainly consists of three parts: first, preprocessing and SAR imaging; second, the ISP-LS-based channel error estimation and calibration algorithm; third, postimaging reconstruction and ambiguity suppression. The channel phase and baseline errors are joint-estimated based on image subspace after SAR imaging, providing advantages that the higher signal-to-noise ratio (SNR) regions SAR images and the subspace method can be used to achieve a more accurate estimate with a relatively low computational load. We also propose a postimaging reconstruction method for ambiguity suppression, which can realize imaging each channel data and then combining the multichannel SAR images. Simulated and acquired airborne SAR data are processed to demonstrate the effectiveness of the proposed method.
Year
DOI
Venue
2022
10.1109/TGRS.2021.3119457
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
Keywords
DocType
Volume
Channel estimation, Synthetic aperture radar, Doppler effect, Azimuth, Image reconstruction, Radar polarimetry, Radar imaging, Channel error estimation, image domain, image-domain subspace (ISP), least-square method, multiple azimuth channels (MACs) synthesis aperture radar (SAR), postimaging reconstruction
Journal
60
ISSN
Citations 
PageRank 
0196-2892
0
0.34
References 
Authors
0
7
Name
Order
Citations
PageRank
Jixiang Xiang102.03
Guang-Cai Sun205.41
Zi-jing Zhang313515.74
Yu Zhang43017.57
Xiaojie Ding500.68
Mengdao Xing61340162.45
Jun Yang714.01