arrow
返回

FAST GPU-BASED INTERPOLATION FOR SAR BACKPROJECTION

delete2013-01-01
delete44
delete
OA
AI
A
Amedeo Capozzoli *
C
Claudio Curcio
A
Angelo Liseno
DOI:10.2528/PIER12071909delete
delete原文链接
delete分享
delete收藏
查看原文
摘要

摘要

En 中文
We introduce and discuss a parallel SAR backprojection algorithm using a Non-Uniform FFT (NUFFT) routine implemented on a GPU in CUDA language. The details of a convenient GPU implementation of the NUFFT-based SAR backprojection algorithm, amenable to further generalizations to a multi-GPU architecture, are also given. The performance of the approach is analyzed in terms of accuracy and computational speed by comparisons to a standard, parallel version of the backprojection algorithm exploiting FFT + interpolation instead of the NUFFT. Different interpolators have been considered for the latter processing scheme. The NUFFT-based backprojection has proven significantly more accurate than all the compared approach, with a computing time of the same order. An analysis of the computational burden of all the different steps involved in both the considered approaches (i.e., standard and NUFFT backprojections) has been also reported. Experimental results against the Air Force Research Laboratory (AFRL) airborne data delivered under the challenge problem for SAR-based Ground Moving Target Identification (GMTI) in urban environments and collected over circular flight paths are also shown.
Keyword:
FAST FOURIER-TRANSFORMS
EFFICIENT
RECONSTRUCTION
ALGORITHM
AI总结

AI总结

对已上传原文的论文进行重点信息的提取,主要内容包括:简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。

期刊

P
Progress in Electromagnetics Research-PIER
IF:
9.3
论文数:
2.9K
被引数:
2.7K

机构

U
University of Naples Federico II
学者数:
4.7W
论文数: 3.6W
被引数: 51
引用论文

引用论文

暂无论文信息