LAUSR

With the continuous development of satellite navigation, how to make full use of the compatibility and interoperability among the four constellations deserves our deep thinking. Signal acquisition is a critical technology that affects the performance of GNSS receivers. However, its implementation has high requirements on both resource consumption and processing time. In recent years, graphics processing unit (GPU) technology with a large number of parallel processing units is gradually applied to the navigation field. In this paper, a multi-constellation-compatible capture strategy based on GPU is proposed. Compared with the traditional GNSS signal processing, the design has better flexibility and portability, and the acquisition parameters of the system can be configured flexibly through the interface. The experimental results show that the proposed scheme makes full use of the powerful parallel processing capability of GPU, which greatly reduces the acquisition time and improves the efficiency of signal processing, with the increase of data processing. In addition, as the amount of signal processing data increases, the advantages of the CPU high-performance computing platform will be more obvious.