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      An Efficient Algorithm to Processing SAR Data on GPU

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          Abstract

          Data processing is a time-consuming matter in the field of Synthetic Aperture Radar (SAR). In other ways, Graphic Processing Unit (GPU) have tremendous float-point computational horsepower and very high memory bandwidth, and the developing Compute Unified Device Architecture (CUDA) technology has enabled the GPU to be applied to the general purpose parallel computing. A new method of processing SAR data on GPU is presented in this paper. Compared with the nominal GPU based SAR processing method, number of data transfers between CPU/GPU are reduced from 4 to 1, and CPUs are exploited to cooperate with GPU synchronously. By the proposed method, data Processing is speeded up by 2.3 times, which is verified by the testing on the simulated SAR data.

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          Author and article information

          Journal
          Journal of Radars
          Chinese Academy of Sciences
          01 June 2013
          : 2
          : 2
          : 210-217
          Affiliations
          [1 ] Institute of Electronics, Chinese Academy of Sciences
          Article
          c47e9d55c63b45dfb5d82d4e16e9d5bf
          10.3724/SP.J.1300.2013.20098

          This work is licensed under a Creative Commons Attribution 4.0 Unported License. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/

          Categories
          Technology (General)
          T1-995

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