Title
An ISAR Imaging Algorithm for Maneuvering Targets With Low SNR Based on Parameter Estimation of Multicomponent Quadratic FM Signals and Nonuniform FFT.
Abstract
The inverse synthetic aperture radar (ISAR) imaging for maneuvering targets has always been a challenging task due to the time-varying Doppler parameter, especially in the low signal-to-noise ratio (SNR) environment. In this paper, a novel ISAR imaging algorithm for maneuvering targets in the low SNR environment based on the parameter estimation approach is presented. First, the received signals o...
Year
DOI
Venue
2016
10.1109/JSTARS.2016.2543233
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Keywords
Field
DocType
Imaging,Radar imaging,Signal to noise ratio,Doppler effect,Azimuth,Parameter estimation
Computer vision,Propagation of uncertainty,Bin,Quadratic equation,Inverse synthetic aperture radar,Fast Fourier transform,Artificial intelligence,Estimation theory,Doppler effect,Imaging algorithm,Mathematics
Journal
Volume
Issue
ISSN
9
12
1939-1404
Citations 
PageRank 
References 
2
0.40
0
Authors
5
Name
Order
Citations
PageRank
Dong Li1102.63
Xiaogang Gui230.78
Hongqing Liu34528.77
Jia Su43510.65
Han Xiong520.74