The Research on Parallel Optimization of SAR Imaging R-D Algorithm Based on CUDA

被引：0

作者：

Wei, Pei ^{[1
]}

Du, Jing ^{[1
]}

Sui, Sai ^{[1
]}

Chen, Yancang ^{[1
]}

机构：

[1] Luoyang Elect Equipment Test Ctr, Luoyang, Peoples R China

来源：

2018 10TH INTERNATIONAL CONFERENCE ON COMMUNICATION SOFTWARE AND NETWORKS (ICCSN) | 2018年

关键词：

SAR; parallel optimization; CUDA programming model;

D O I：

暂无

中图分类号：

TP31 [计算机软件];

学科分类号：

081202 ; 0835 ;

摘要：

Synthetic Aperture Radar (SAR) imaging technology is widely used in the field of remote sensing observation, navigation positioning and so on, SAR imaging is large in data scale and long in operating time. Based on the Compute Unified Device Architecture (CUDA) programming model, the SAR imaging R-D algorithm is designed and implemented for parallel optimization on the CPU-GPU heterogeneous platform and tested on the GPU Tesla K20. The test shows that the efficiency of the core steps of R-D algorithm has been greatly improved.

引用

页码：526 / 530

页数：5

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