DocumentCode :
3646691
Title :
Clutter reduction methods in ultra wideband (UWB) radar and time/performance evaluation on ARM processors
Author :
E. Öztürk;A. V. Atlı;M. S. Mercan;A. Çalışkan;I. Y. Erer
Author_Institution :
Netaş
fYear :
2012
fDate :
4/1/2012 12:00:00 AM
Firstpage :
1
Lastpage :
4
Abstract :
In this study, principal component analysis (PCA), singular value decomposition (SVD) and independent component analysis (ICA), which are statistical signal processing methods for clutter reduction, are explained in ultra wideband (UWB) radars. In addition, how to use these methods in through wall imaging (TWI) and time/performance relationship on ARM Cortex A-8 processors which have floating-point mathematical operation support is examined by using OpenCV library. In the conclusion part, the results obtained from a metal behind a wall was made of ytong bricks is discussed.
Keywords :
"Radar imaging","Ultra wideband radar","Covariance matrix","Clutter","Radar clutter"
Publisher :
ieee
Conference_Titel :
Signal Processing and Communications Applications Conference (SIU), 2012 20th
Print_ISBN :
978-1-4673-0055-1
Type :
conf
DOI :
10.1109/SIU.2012.6204784
Filename :
6204784
Link To Document :
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