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Proceedings Paper

A parallel real-time computing-cluster implementation of spotlight SAR processing
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Paper Abstract

The high resolution imaging capability of Synthetic Aperture Radar (SAR) is largely unaffected by atmospheric conditions and has proven to be an indispensable asset in a variety of military and civilian applications. Application of SAR methodology for real-time imaging however carries with it the large computational complexity and storage requirements of the image-forming algorithms. Recently however, the rapidly diminishing cost of computing hardware and the related ascent of cluster-based computing, has made parallelization of these algorithms an appealing area of investigation. This paper describes a parallel SAR processor developed at MIT Lincoln Laboratory. Several novel technologies were employed in it's implementation, including pMatlab which is a parallel extension of standard Matlab that is also being developed at MIT Lincoln Laboratory. These technologies will be described later in the document. We begin with a brief description of the basic SAR algorithm.

Paper Details

Date Published: 19 May 2005
PDF: 10 pages
Proc. SPIE 5808, Algorithms for Synthetic Aperture Radar Imagery XII, (19 May 2005); doi: 10.1117/12.602760
Show Author Affiliations
Bipin Mathew, MIT Lincoln Lab. (United States)
Daniel Rabinkin, MIT Lincoln Lab. (United States)

Published in SPIE Proceedings Vol. 5808:
Algorithms for Synthetic Aperture Radar Imagery XII
Edmund G. Zelnio; Frederick D. Garber, Editor(s)

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