Paper Info
Title
Contrast-Optimization-Based Range-Profile Autofocus for Polarimetric Stepped-Frequency Radar
Abstract
One of the main benefits brought by the use of fully polarimetric radars is the ability to identify scattering mechanisms, which are related to the target physical properties. One of the most critical problems in synthetic range-profile reconstruction is the distortion induced by the target motion. Radial target velocity and acceleration generate second- and third-order phase terms in the received signal, which produce range shift and point-spread-function smearing. The distortions induced by the target motion produce, as a consequence, a signal-to-noise ratio loss. Recently, a method based on contrast maximization has been proposed in order to compensate target radial motions using single-polarization data. In this paper, an extension of such an algorithm is proposed that exploits fully polarimetric data in order to improve the target radial motion compensation.
Year
DOI
Venue
2010
10.1109/TGRS.2009.2035444
Geoscience and Remote Sensing, IEEE Transactions
Keywords
Field
DocType
geophysical image processing,geophysical techniques,motion compensation,optical transfer function,optimisation,radar polarimetry,contrast-optimization-based range-profile autofocus,high range resolution radar,point-spread-function smearing,polarimetric radars,polarimetric stepped-frequency radar,radar waveforms,radial target velocity,range shift,scattering mechanisms,signal-to-noise ratio loss,single-polarization data,target motion,High range resolution radar (HRRR),radar polarimetry,radar waveforms
Iterative reconstruction,Radar,Autofocus,Motion compensation,Signal-to-noise ratio,Remote sensing,Phase distortion,Acceleration,Distortion,Mathematics
Journal
Volume
Issue
ISSN
48
4
0196-2892
Citations 
PageRank 
References 
10
1.04
9
Authors
4
Name
Order
Citations
PageRank
Cacciamano, A.1101.04
Elisa Giusti2808.36
Amerigo Capria3537.46
Marco Martorella419328.18