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Bipin Mathew

at MIT Lincoln Lab

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Proceedings Article | 19 May 2005 Paper

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

Bipin Mathew, Daniel Rabinkin

Proceedings Volume 5808, (2005) https://doi.org/10.1117/12.602760

KEYWORDS: Synthetic aperture radar, Radar, Image processing, Image resolution, MATLAB, Signal processing, Parallel computing, Antennas, Data processing, Image acquisition

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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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