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

Bipin Mathew; Daniel Rabinkin

doi:10.1117/12.602760

19 May 2005 A parallel real-time computing-cluster implementation of spotlight SAR processing

Bipin Mathew, Daniel Rabinkin

Author Affiliations +

Proceedings Volume 5808, Algorithms for Synthetic Aperture Radar Imagery XII; (2005) https://doi.org/10.1117/12.602760
Event: Defense and Security, 2005, Orlando, Florida, United States

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.

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Bipin Mathew and Daniel Rabinkin "A parallel real-time computing-cluster implementation of spotlight SAR processing", Proc. SPIE 5808, Algorithms for Synthetic Aperture Radar Imagery XII, (19 May 2005); https://doi.org/10.1117/12.602760

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