Satellite navigation signal acquisition method based on joint optimization of complexity and performance

Aiming at the high computational complexity of short burst signal acquisition, an acquisition method based on the joint optimization of computational complexity and acquisition performance is proposed. The acquisition performance and computational complexity of the segmented correlation-video accumulation acquisition algorithm using parallel frequency search is derivatively analyzed. The joint acquisition optimization factor is constructed, and the optimal design is carried out for different frequency search intervals, different receiver sensitivities, and different numbers of correlators, and the optimal number of segments for computational complexity and acquisition performance is obtained. The simulation results show that this method can effectively control the computational complexity of the acquisition algorithm. When the input carrier-to-noise ratio is 45 dB-Hz, the number of correlators is 8, and the Doppler search interval is 2 000 Hz, meanwhile, the computational complexity can be reduced by 21.2% compared with the traditional acquisition optimization method.