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Proceedings Paper

Massively parallel synthetic-aperture radar autofocus
Author(s): Gary A. Mastin; Steven J. Plimpton; Dennis C. Ghiglia
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Paper Abstract

The iterative phase gradient autofocus (PGA) algorithm for automatically focusing synthetic aperture radar images has been implemented on both a 16384-processor Connection Machine and the 1024-processor nCUBE 2 hypercube. Massive parallelism has proven its value by dramatically reducing processing times over those achieved on sequential machines by an order of magnitude or more. This is especially important for very large images or where high volumes of input and output are encountered. We provide an overview of the PGA algorithm, highlighting opportunities for significant speed-up in parallel architectures. This is followed by implementation details and timing results.

Paper Details

Date Published: 1 December 1991
PDF: 12 pages
Proc. SPIE 1566, Advanced Signal Processing Algorithms, Architectures, and Implementations II, (1 December 1991); doi: 10.1117/12.49836
Show Author Affiliations
Gary A. Mastin, Sandia National Labs. (United States)
Steven J. Plimpton, Sandia National Labs. (United States)
Dennis C. Ghiglia, Sandia National Labs. (United States)

Published in SPIE Proceedings Vol. 1566:
Advanced Signal Processing Algorithms, Architectures, and Implementations II
Franklin T. Luk, Editor(s)

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