Acquisition method of spread spectrum signals based on GPU acceleration

To meet the strict requirements of acquisition time under conditions of high dynamic and low CNR, an acquisition method of spread spectrum signals based on GPU acceleration has put forward through the combination of the spread spectrum signal acquisition and GPU parallel computing. Taking the frequency domain parallel acquisition algorithm based on FFT as the base, this method uses the synergetic hardware platform of CPU and GPU by CUDA programming. CPU is used to realize the reading and implementing of intermediate frequency signal data while GPU guarantee the core algorithm´s parallel realization. At last, this paper compares the method with the acquisition method realized by only CPU, and the result shows the acquisition speed by the former is six to seven times higher than that by the latter, which ensures the real-time processing of spread spectrum signals.