DocumentCode :
2783749
Title :
Suppression of sidelobes and noise in airborne SAR imagery using the Recursive Sidelobe Minimization technique
Author :
Nguyen, Lam ; Innocenti, Roberto
Author_Institution :
U.S. Army Res. Lab., Adelphi, MD, USA
fYear :
2010
fDate :
10-14 May 2010
Firstpage :
522
Lastpage :
525
Abstract :
The Army Research Laboratory (ARL) has recently developed the Recursive Side-lobe Minimization (RSM) technique (patent pending). The technique is integrated with a standard back-projection algorithm to form synthetic aperture radar (SAR) images with significant reduction in side-lobes and noise. We have achieved significant improvements in noise reduction by applying the RSM technique to our Ultrawideband (UWB) Synchronous Impulse Reconstruction (SIRE) forward-looking radar. This paper presents the application of the RSM technique using data from a side-looking airborne SAR system from SRI International. We describe the RSM technique, the SAR data processing, compare the baseline and RSM SAR images, and quantify the image quality in term of signal-to-noise ratio (SNR) and the statistical distribution of the image pixels to show that significant improvement achieved using the RSM technique.
Keywords :
airborne radar; interference suppression; radar imaging; statistical distributions; synthetic aperture radar; ultra wideband radar; Army Research Laboratory; RSM technique; airborne SAR imagery; backprojection algorithm; data processing; noise suppression; recursive sidelobe minimization technique; side looking airborne; sidelobe suppression; signal to noise ratio; statistical distribution; synchronous impulse reconstruction; synthetic aperture radar; ultra wideband; Data processing; Image quality; Image reconstruction; Laboratories; Noise reduction; Radar imaging; Signal to noise ratio; Synthetic aperture radar; Ultra wideband radar; Ultra wideband technology;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Radar Conference, 2010 IEEE
Conference_Location :
Washington, DC
ISSN :
1097-5659
Print_ISBN :
978-1-4244-5811-0
Type :
conf
DOI :
10.1109/RADAR.2010.5494566
Filename :
5494566
Link To Document :
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