Three GPU-Based Parallel Schemes for SAR Back Projection Imaging Algorithm

Kebin Hu, Xiaoling Zhang, Wen-Jun Wu, Jun Shi, Shunjun Wei
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引用次数: 6

Abstract

Back projection (BP) algorithm has the ability of accurate imaging for synthetic aperture radar (SAR). However, the drawback of low computational efficiency limits the wide application of BP. In this paper, three different parallel schemes based on GPU for BP are presented. According to the features of serial structure of BP, the first two schemes are parallelized through mapping the pulse repetition intervals (PRIs) and pixels in the scene onto the parallel threads in GPU, respectively, another scheme combines the first two schemes together. In order to select the best scheme for application, we also provide a coarse criterion after detailed analysis of the three schemes from aspects of parallelization degree, memory occupancy and memory access efficiency. The simulation results are carried out and compared, which validates the efficacy of the three schemes.
三种基于gpu的SAR反投影成像并行算法
BP算法对合成孔径雷达(SAR)具有精确成像的能力。然而,计算效率低的缺点限制了BP的广泛应用。本文提出了三种不同的基于GPU的BP并行方案。根据BP序列结构的特点,将前两种方案分别通过将场景中的脉冲重复间隔(PRIs)和像素映射到GPU的并行线程上进行并行化,另一种方案将前两种方案结合在一起。从并行化程度、内存占用率和内存访问效率三个方面对三种方案进行了详细分析,并给出了一个粗略的准则,以选择最适合应用的方案。仿真结果进行了比较,验证了三种方案的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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