摘要: With the emergence of new GNSS applications such as autonomous driving and UAV, it is necessary to consider integrity requirements of real-time kinematic (RTK), to ensure the security and reliability of positioning, on the basis o... 展开 With the emergence of new GNSS applications such as autonomous driving and UAV, it is necessary to consider integrity requirements of real-time kinematic (RTK), to ensure the security and reliability of positioning, on the basis of high-precision services. The performance of RTK depends on the data quality of the reference station, the distance between the user and the reference station, etc. GNSS service anomalies, environmental occlusions and interferences, reference station faults and other factors may lead to RTK fault and cannot meet the requirements of high-performance applications. In order to improve the RTK performance, this paper presents initial research on the processing of SBAS-RTK integrated positioning. First, RTK fault factors are analyzed and their effects are evaluated by simulation to summarize the main risk events. Next. SBAS and RTK differential data are integrated for data detection, weighted positioning and data check to eliminate the impact of various risk events and improve the reliability of RTK. Finally, based on the simulation tests, the performance of the algorithm is verified and evaluated. The results show that the SBAS-RTK integrated positioning can identify the faults of more than 3 m in the RTK differential data and effectively ensure the reliability of positioning. 收起