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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。
In this paper, two kinds of algorithms for fast acquisition of spread spectrum measurement and control signals based on GPU are studied, which are parallel acquisition algorithm based on GPU in frequency domain and parallel acquisition algorithm in time domain based on GPU. The parallel algorithm is used to simulate the signal with CUDA, VC and Matlab And compare. The simulation results show that GPU-based time-domain parallel acquisition algorithm has a high degree of parallelism and is about 10 times faster than GPU-based frequency-domain parallel acquisition algorithm, which is about 50 times faster than CPU-based time domain parallel acquisition algorithm.