Paper Info
Title
A General Method of Series Reversion for Synthetic Aperture Radar Imaging
Abstract
Synthetic aperture radar (SAR) imaging usually needs to be converted between the time domain and the frequency domain, in which the solution of stationary phase point determines the accuracy of time-frequency conversion and the final image quality. Theoretically, the stationary phase point can be accurately solved by the method of series reversion (MSR) in an arbitrary configuration (e.g., bistatic and/or nonlinear trajectory). However, the existing methods based on MSR are proposed based on the assumption of specific signal form. In other words, it is necessary to reuse MSR to derive the time-frequency conversion for different signal forms, which brings great inconvenience to engineering applications. In this article, we aim to propose a general method based on MSR. Based on this method, the accurate time-frequency conversion can be derived by simply arranging any signal to the standard form specified in this article first and then simply replacing the variables.
Year
DOI
Venue
2022
10.1109/LGRS.2021.3093894
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS
Keywords
DocType
Volume
Time-domain analysis, Azimuth, Standards, Signal processing algorithms, Radar imaging, Time-frequency analysis, Synthetic aperture radar, Bistatic, method of series reversion (MSR), nonlinear trajectory, stationary phase point, synthetic aperture radar (SAR)
Journal
19
ISSN
Citations 
PageRank 
1545-598X
0
0.34
References 
Authors
0
4
Name
Order
Citations
PageRank
Jianlai Chen102.37
Junchao Zhang213.41
Buge Liang302.37
Degui Yang400.68