Paper Info
Title
Real-Time Processing of Spaceborne SAR Data With Nonlinear Trajectory Based on Variable PRF
Abstract
Spaceborne synthetic aperture radar (SAR) real-time imaging is especially important for disaster emergencies and real-time monitoring applications with highly desired real-time requirements. Therefore, the continuous improvement of real-time imaging efficiency is an important development trend. At present, traditional real-time imaging algorithms based on constant pulse repetition frequency (PRF) have low accuracy when processing spaceborne SAR data with nonlinear trajectory. For this problem, the existing methods usually introduce some complex signal processing steps, such as scaling or interpolation processing, to improve the accuracy of the real-time imaging, but this will reduce its efficiency. Therefore, this article proposes a new real-time imaging algorithm based on variable PRF for nonlinear trajectory spaceborne SAR. By introducing the variable PRF, the proposed algorithm is equivalent to complete the complex signal processing steps in the radar signal transmission stage, which can greatly improve the efficiency of real-time imaging. Simulation experiments verify the effectiveness of the algorithm.
Year
DOI
Venue
2022
10.1109/TGRS.2021.3067945
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
Keywords
DocType
Volume
Radar imaging, Imaging, Real-time systems, Trajectory, Spaceborne radar, Satellites, Synthetic aperture radar, Constant pulse repetition frequency (PRF), nonlinear trajectory, real-time imaging, synthetic aperture radar (SAR), variable PRF
Journal
60
ISSN
Citations 
PageRank 
0196-2892
0
0.34
References 
Authors
0
6
Name
Order
Citations
PageRank
Jianlai Chen102.37
Junchao Zhang200.34
Yanghao Jin301.35
Hanwen Yu403.72
Buge Liang502.37
De-Gui Yang600.68