基于GPU的扩频测控信号快速捕获算法研究
发布时间：2018-12-13 15:27
【摘要】：文章主要研究了两种基于GPU的扩频测控信号快速捕获的算法,即基于GPU的频域并行捕获算法和基于GPU的时域并行捕获算法,采用并行算法,使用CUDA、VC和Matlab进行了仿真和比较。仿真结果表明,基于GPU的时域并行捕获算法并行化程度高,较基于GPU的频域并行捕获算法速度快约10倍,较基于CPU的时域并行捕获算法快约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.
【作者单位】： 中国人民解放军75707部队;
【分类号】：V556;TN911.7
[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.
【作者单位】： 中国人民解放军75707部队;
【分类号】：V556;TN911.7
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