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Proceedings Paper

SAR imaging technique for reduction of sidelobes and noise
Author(s): Lam Nguyen
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Paper Abstract

Multiplicative noise poses a big challenge for SAR imaging system, in which energy from the sidelobes of large RCS man-made and natural clutter objects spread throughout the resulting SAR imagery. Detection of small RCS targets is very difficult since their signatures might be obscured or even embedded in this multiplicative noise floor that is proportional to the RCS of surrounding clutter objects. ARL has developed a Recursive Sidelobe Minimization (RSM) technique that is combined with the standard backprojection image formation algorithm to suppress the multiplicative noise floor in the resulting SAR imagery. In this paper, we present the Recursive Sidelobe Minimization (RSM) technique. Although the technique is originally developed and tested using data from the Army Research Lab (ARL) UWB Synchronous Impulse Reconstruction (SIRE) forward-looking radar, it is also applicable for other SAR data sets with different configurations.

Paper Details

Date Published: 29 April 2009
PDF: 12 pages
Proc. SPIE 7308, Radar Sensor Technology XIII, 73080U (29 April 2009); doi: 10.1117/12.820480
Show Author Affiliations
Lam Nguyen, Army Research Lab. (United States)


Published in SPIE Proceedings Vol. 7308:
Radar Sensor Technology XIII
Kenneth I. Ranney; Armin W. Doerry, Editor(s)

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