Title
Efficient Sar Raw Data Parallel Simulation Based On Multicore Vector Extension
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.
Year
Venue
Keywords
2015
2015 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS)
SAR, echo, AVX/SSE, OpenMP
Field
DocType
ISSN
Data modeling,Computer vision,Radar imaging,Computer science,Instruction set,Synthetic aperture radar,Remote sensing,Azimuth,Inverse synthetic aperture radar,Acceleration,Artificial intelligence,Multi-core processor
Conference
2153-6996
Citations 
PageRank 
References 
2
0.46
4
Authors
6
Name
Order
Citations
PageRank
chen hu1183.01
Fan Zhang219818.72
Lixiang Ma321.13
Guojun Li451.67
Wei Hu516910.13
Wei Li6108888.08