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基于GPU的擴(kuò)頻測(cè)控信號(hào)快速捕獲算法研究

發(fā)布時(shí)間:2018-12-13 15:27
【摘要】:文章主要研究了兩種基于GPU的擴(kuò)頻測(cè)控信號(hào)快速捕獲的算法,即基于GPU的頻域并行捕獲算法和基于GPU的時(shí)域并行捕獲算法,采用并行算法,使用CUDA、VC和Matlab進(jìn)行了仿真和比較。仿真結(jié)果表明,基于GPU的時(shí)域并行捕獲算法并行化程度高,較基于GPU的頻域并行捕獲算法速度快約10倍,較基于CPU的時(shí)域并行捕獲算法快約50倍。
[Abstract]:This paper mainly studies two fast acquisition algorithms of spread spectrum measurement and control signal based on GPU, that is, frequency domain parallel acquisition algorithm based on GPU and time domain parallel acquisition algorithm based on GPU. The parallel algorithm is used to simulate and compare with CUDA,VC and Matlab. The simulation results show that the time domain parallel acquisition algorithm based on GPU has a high degree of parallelization, which is about 10 times faster than the frequency domain parallel acquisition algorithm based on GPU and about 50 times faster than the time domain parallel acquisition algorithm based on CPU.
【作者單位】: 中國(guó)人民解放軍75707部隊(duì);
【分類號(hào)】:V556;TN911.7

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