A Joint Compensation Method for Repositioning Error and Atmospheric Phase Screen of Ground-Based SAR
Author(s) -
Zechao Bai,
Peng Cui,
Yanping Wang,
Hui Liu,
Yun Lin,
Yang Li,
Wenjie Shen
Publication year - 2025
Publication title -
ieee journal of selected topics in applied earth observations and remote sensing
Language(s) - English
Resource type - Magazines
SCImago Journal Rank - 1.246
H-Index - 88
eISSN - 2151-1535
pISSN - 1939-1404
DOI - 10.1109/jstars.2025.3638786
Subject(s) - geoscience , signal processing and analysis , power, energy and industry applications
In the monitoring of discontinuous ground-based synthetic aperture radar (GB-SAR), challenges such as repositioning error and atmospheric phase screen (APS) can significantly impact the accuracy of deformation inversion. Existing compensation methods are limited to specific scanning modes (linear-scanning or arc-scanning) and lack a unified framework, leading to suboptimal performance in complex scenarios. We propose a novel joint compensation model applicable to both linear-scanning and arc-scanning GB-SAR. By formulating repositioning error as ternary functions of positional shifts and linearizing them through first-order approximation, the method establishes a unified phase error model. A high-order range error component is integrated to characterize APS effects. The combined model parameters are optimized by gradient descent. Experimental validation using near-field and far-field datasets demonstrates significant improvements: in linear-scanning mode, the residual phase RMSE is reduced by 40.4%, while arc-scanning mode it decreased by 6.8%. The proposed framework effectively compensates for two errors, outperforming conventional approaches by unifying compensation across scanning geometries. This study enables high-precision deformation monitoring in diverse GB-SAR applications, advancing the reliability of geological hazard early warning and infrastructure assessment.
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