Title
Adaptive Translational Motion Compensation Method for ISAR Imaging Under Low SNR Based on Particle Swarm Optimization
Abstract
Under low signal-to-noise ratio (SNR), the performance of conventional envelop-based range alignment methods for inverse synthetic aperture radar (ISAR) imaging degrades, resulting in the following phase adjustment or autofocus inapplicable. In this paper, a novel method for the translational motion compensation of ISAR imaging under low SNR is proposed. Translational motion is first modeled as a ...
Year
DOI
Venue
2015
10.1109/JSTARS.2015.2491307
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Keywords
DocType
Volume
Polynomials,Inverse synthetic aperture radar,Radar imaging,Signal to noise ratio,Particle swarm optimization,Motion compensation
Journal
8
Issue
ISSN
Citations 
11
1939-1404
5
PageRank 
References 
Authors
0.46
5
5
Name
Order
Citations
PageRank
lei liu161.49
Feng Zhou22189158.01
Mingliang Tao36810.49
pange sun450.46
Zi-jing Zhang513515.74