Paper Info
Title
ISAR Imaging Motion Compensation in Low SNR Environments Using Phase Gradient and Filtering Techniques
Abstract
In a low signal-to-noise ratio (SNR) environment, conventional range profiles-based motion compensation (MoCo) methods become inapplicable for inverse synthetic aperture radar (ISAR) imaging. In this article, a novel method for range profile alignment along with phase adjustment is proposed. The method is applied in the uncompressed phase history domain without the need for a prominent point. Moti...
Year
DOI
Venue
2021
10.1109/TAES.2021.3098129
IEEE Transactions on Aerospace and Electronic Systems
Keywords
DocType
Volume
Radar imaging,Radar,Imaging,Signal to noise ratio,Transforms,Radar scattering,Mathematical model
Journal
57
Issue
ISSN
Citations 
6
0018-9251
0
PageRank 
References 
Authors
0.34
0
3
Name
Order
Citations
PageRank
J Fu100.34
Mengdao Xing21340162.45
Moeness Amin32909287.79