Proceedings of the 2012 National Conference on Information Technology and Computer Science

Parallel Processing Imaging Algorithm for Synthetic Aperture Radar based on pipeline

Authors
Zhili Hua, Chao Hui, Hongping Li
Corresponding Author
Zhili Hua
Available Online November 2012.
DOI
10.2991/citcs.2012.200How to use a DOI?
Keywords
Synthetic Aperture Radar; Imaging; Parallel; Pipeline
Abstract

Parallel processing is an effective way to process Synthetic Aperture Radar (SAR) data quickly and realize realtime imaging. Based on the traditional serial Range-Doppler algorithm, a parallel SAR imaging processing scheme is present by using of pipeline technology, and partition approach of computing nodes in both range and azimuth compression is discussed. Computing results show that, when the ratio of nodes is 2/4 or 2/5, the efficiency of parallel processing can be satisfied, in which 2/4 refers to the best efficiency and 2/5 to the best speedup. The ability of real-time SAR imaging is also tested, from which the ultimate computing time of a frame image is about 0.5 s, smaller than the forming time of 0.92 s.

Copyright
© 2012, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2012 National Conference on Information Technology and Computer Science
Series
Advances in Intelligent Systems Research
Publication Date
November 2012
ISBN
10.2991/citcs.2012.200
ISSN
1951-6851
DOI
10.2991/citcs.2012.200How to use a DOI?
Copyright
© 2012, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Zhili Hua
AU  - Chao Hui
AU  - Hongping Li
PY  - 2012/11
DA  - 2012/11
TI  - Parallel Processing Imaging Algorithm for Synthetic Aperture Radar based on pipeline
BT  - Proceedings of the 2012 National Conference on Information Technology and Computer Science
PB  - Atlantis Press
SP  - 789
EP  - 792
SN  - 1951-6851
UR  - https://doi.org/10.2991/citcs.2012.200
DO  - 10.2991/citcs.2012.200
ID  - Hua2012/11
ER  -