Parallel-acquisition of GPS signal based on graphic processing unit

Since the serial realization of GPS acquisition algorithm on CPU of PC is time-consuming, a parallel realization of two acquisition algorithms on graphic processing unit(GPU) were proposed for the GPS signal with different carrier to noise ratio(CNR) to improve the calculation speed. These algorithms were designed according to compute unified device architecture(CUDA) based on the parallel code phase search technology. The strong signal acquisition with high CNR was realized by parallel search of multi-frequency for all 32 satellites. As for the weak signal acquisition with low CNR, the noncoherent integration was adopted. The experimental results show that the calculation speeds of the two proposed algorithms are about 10 times faster than that of the traditional method, and for the weak signal with 40 dB noise, the proposed parallel realization algorithm acquires satellites effectively with the similar calculation speed by using noncoherent integration of 10 ms data.