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 &
fDate :
7/1/2015 12:00:00 AM
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"
Conference_Titel :
Geoscience and Remote Sensing Symposium (IGARSS), 2015 IEEE International
Electronic_ISBN :
2153-7003
DOI :
10.1109/IGARSS.2015.7326883