DocumentCode
3691042
Title
Efficient SAR raw data parallel simulation based on multicore vector extension
Author
Chen Hu;Fan Zhang;Lixiang Ma;Guojun Li;Wei Hu;Wei Li
Author_Institution
College of Information Science &
fYear
2015
fDate
7/1/2015 12:00:00 AM
Firstpage
4719
Lastpage
4722
Abstract
Due to independence of weather condition and sun illumination, Synthetic Aperture Radar (SAR) has been widely used in airborne remote sensing and satellite ocean observation fields. With the increase in swath and higher resolution requirements, SAR imaging algorithms require further study. However, as a research support, echo data has massive increase. So the high efficient echo simulation is required emergently. SAR echo simulation is optimized to accelerate, based on AVX/SSE of vector instruction set and OpenMP. Experiments demonstrate that in the case of using OpenMP and AVX / SSE combined, CPU simulation efficiency is improved by about 23 times, compared to the traditional one.
Keywords
"Computational modeling","Synthetic aperture radar","Data models","Graphics processing units","Multicore processing","Acceleration","Azimuth"
Publisher
ieee
Conference_Titel
Geoscience and Remote Sensing Symposium (IGARSS), 2015 IEEE International
ISSN
2153-6996
Electronic_ISBN
2153-7003
Type
conf
DOI
10.1109/IGARSS.2015.7326883
Filename
7326883
Link To Document