An Adaptive Method for BeiDou Dual-Frequency Joint Acquisition Based on SNR Estimation

Since the new civil signals, B1C and B2a of Beidou System have been announced and broadcast by the newly launched satellites, how to design GNSS receiver by jointly using multiple signals in order to improve sensitivity, accuracy and so on has been a hot research topic. This paper proposes a joint processing method by jointly utilizing the legacy signal B1I and the new signal B1C both of which are broadcast from the new MGEO/IGSO satellites at the same time. This method can adaptively choose the optimal acquisition algorithm according to the signal-to-noise (SNR) estimation. The parallel search technique that is based on GPU-level parallel optimization strategy is properly designed to improve the executions efficiency. The curves of the detection probability versus the false alarm probability, also called the receiver operating characteristic (ROC), are obtained by Monte Carlo simulations.