GPU Accelerated Partitioned Reconstruction Algorithm for Millimeter-Wave 3D Synthetic Aperture Radar (SAR) Images

被引：0

作者：

Devadithya, Sandamali ^{[1
]}

Pedross-Engel, Andreas ^{[1
]}

Watts, Claire M. ^{[1
]}

Reynolds, Matthew S. ^{[1
,2
]}

机构：

[1] Univ Washington, Dept Elect Engn, 185 Stevens Way, Seattle, WA 98195 USA

[2] Univ Washington, Dept Comp Sci & Engn, 185 Stevens Way, Seattle, WA 98195 USA

来源：

2017 IEEE MTT-S INTERNATIONAL MICROWAVE SYMPOSIUM (IMS) | 2017年

关键词：

synthetic aperture radar; SAR; partitioned reconstruction model; inverse problem; GPU acceleration;

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

3D reconstruction using synthetic aperture radar (SAR) imaging is a computationally complex process due to the large amount of data involved. This paper proposes a partitioned reconstruction method for 3D SAR imaging, which leads to computationally efficient algorithms. The proposed method allows for parallel processing, e.g. using a general purpose graphic processing unit (GPU). Experimental results using a laboratory K-Band (15-26.5 GHz) ultra-wideband SAR system are presented. It is shown that 3D SAR reconstruction with GPU acceleration using the proposed algorithms is 300 times faster than the conventional matched filter approach.

引用

页码：1983 / 1986

页数：4

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