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