Airborne SAR Real-time Imaging Algorithm Design and Implementation with CUDA on NVIDIA GPU

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A proposed GPU-based SAR imaging algorithm using CUDA overcomes memory limitations and achieves tens of times speedup compared to traditional GPU-based algorithms, enabling real-time processing speeds of approximately 36 megasamples per second. Novelty: ClaimNovelty.METHODOLOGICAL. Consensus alignment: ConsensusAlignment.NEUTRAL.

Meng Da-di; Yuxin Hu; Tao Shi; Rui Sun; Xiaobo Li

doi:10.3724/sp.j.1300.2013.13056

January 15, 2014JOURNAL OF RADARSOpen Access

Airborne SAR Real-time Imaging Algorithm Design and Implementation with CUDA on NVIDIA GPU

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Abstract

合成孔径雷达(SAR)成像处理的运算量较大，在基于中央处理器(Central Processing Unit, CPU)的工作站或服务器上一般需要耗费较长的时间，无法满足实时性要求。借助于通用并行计算架构(CUDA)

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Da-di et al. (2014) studied this question.

synapsesocial.com/papers/6aaa640d99fd3cc3fd33bd27 https://doi.org/10.3724/sp.j.1300.2013.13056

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Airborne SAR Real-time Imaging Algorithm Design and Implementation with CUDA on NVIDIA GPU

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Airborne SAR Real-time Imaging Algorithm Design and Implementation with CUDA on NVIDIA GPU

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