Title
An ISAR Imaging Algorithm for Nonuniformly Rotating Targets With Low SNR Based on Modified Bilinear Parameter Estimation of Cubic Phase Signal.
Abstract
For nonuniformly rotating target in the low signal-to-noise ratio (SNR) environment, the inverse synthetic aperture radar (ISAR) imaging is a challenging task due to the Doppler spread induced by time-varying rotation. In this paper, an effective modified bilinear parameter estimation algorithm is proposed and applied to reconstruct the ISAR image of nonuniformly rotating targets with low SNR. Fir...
Year
DOI
Venue
2018
10.1109/TAES.2018.2845138
IEEE Transactions on Aerospace and Electronic Systems
Keywords
Field
DocType
Imaging,Chirp,Radar imaging,Parameter estimation,Signal to noise ratio,Doppler effect,Azimuth
Radar,Radar imaging,Control theory,Signal-to-noise ratio,Algorithm,Fourier transform,Inverse synthetic aperture radar,Fast Fourier transform,Chirp,Mathematics,Bilinear interpolation
Journal
Volume
Issue
ISSN
54
6
0018-9251
Citations 
PageRank 
References 
0
0.34
0
Authors
3
Name
Order
Citations
PageRank
Qian Lv100.34
Tao Su2805.67
Xuehui He3302.57