Abstract
For Global Navigation Satellite System (GNSS) data processing, voluminous real-time Continuously Operating Reference Stations (CORS) data processing is a challenging problem. There are many methods have been proposed for regional network processing, such as parallel computing. However, they are mainly used for post-processing or near real-time processing. Due to the magnitude-increased and epoch-related of large geographic area CORS data processing, it brings huge challenges for real-time reception and efficient processing. Therefore, a real-time distributed Precise Point Positioning (PPP) platform is designed based on the idea of distributed computing and message queue to solve voluminous real-time CORS data processing, and it decomposed the real-time data processing into three processes: Input/output (I/O) multiplexing for real-time stream data acquisition, parallel PPP computing, and Weight Round Robin task scheduling. The real-time data of 5 International GNSS Service (IGS) stations is processed, the results show that it generally takes 30 min to achieve accuracy within centimeter. When the platform is applied for 1414 CORS real-time data processing in China, it can perform PPP calculations with stability and high precision. Application of the real-time Precipitable Water Vapor (PWV) monitoring is also provided.
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Ding, J., Wu, D., Xu, X., Xu, H., Huang, L. (2021). Design and Implementation of a Real-Time Distributed Precise Point Positioning Platform. In: Liu, Z., Wu, F., Das, S.K. (eds) Wireless Algorithms, Systems, and Applications. WASA 2021. Lecture Notes in Computer Science(), vol 12939. Springer, Cham. https://doi.org/10.1007/978-3-030-86137-7_5
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