DocumentCode :
3755974
Title :
Clutter suppression in synthetic aperture radar targets using the DFRFT and subspace methods with rank reduction
Author :
Jelili Adebello;Balu Santhanam
Author_Institution :
Department of Electrical & Computer Engineering, University of New Mexico, Albuquerque, NM: 87131-001, USA
fYear :
2015
Firstpage :
1669
Lastpage :
1673
Abstract :
SAR based vibration estimation using discrete Fractional Fourier transform (DFRFT) analysis methods has gained attention in recent work on vibrometry. In the presence of significant clutter however, this estimation becomes challenging due to the presence of clutter induced peaks in the vibration spectra. In this paper, we incorporate rank reduction and filtering into a subspace DFRFT approach that results in significant peak enhancement along with an accompanying reduction in the associated mean square estimation errors when applied to simulated SAR and synthetic chirp data. The approach is further applied to vibration data gathered from a real GA-Lynx system and shown to produce a corresponding peak enhancement and clutter suppression in the vibration spectrum.
Keywords :
"Clutter","Synthetic aperture radar","Chirp","Vibrations","Estimation","Filtering","Thyristors"
Publisher :
ieee
Conference_Titel :
Signals, Systems and Computers, 2015 49th Asilomar Conference on
Electronic_ISBN :
1058-6393
Type :
conf
DOI :
10.1109/ACSSC.2015.7421432
Filename :
7421432
Link To Document :
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