RTK Mobile Station Temporary Base Station Selection
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Solution Overview
Problem
The existing Real-Time Kinematic (RTK) technology requires a dense network of tracking stations to achieve centimeter-level positioning accuracy, which increases construction and maintenance costs, especially in regions with active ionosphere.
Innovation Solution
The method involves determining whether a tracking station is available for RTK resolution and, if not, selecting a second mobile station with a fixed RTK solution as a temporary base station to perform RTK resolution, thereby expanding the coverage of the RTK service without adding tracking stations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the density of tracking stations is increased to achieve centimeter-level positioning accuracy in regions with active ionosphere, then positioning accuracy is improved, but construction and maintenance costs increase
Solution Approach 1:
The patent introduces cloud-based processing as an intermediary between mobile stations and traditional tracking stations. By uploading observation data to the cloud platform, multiple mobile stations can collaborate to provide RTK positioning services for users beyond the traditional 30km range of single tracking stations, eliminating the need for dense physical tracking station deployment while maintaining centimeter-level accuracy
Solution Approach 2:
The patent enables mobile stations to serve dual functions: as users receiving RTK service and as temporary base stations providing RTK service to other mobile stations. This multi-functionality allows any mobile station with fixed ambiguity to contribute to the RTK network, significantly expanding service coverage without requiring dedicated tracking stations in every location
2Area of stationary object
If multiple tracking stations are established to expand RTK service coverage, then service coverage is improved, but construction and maintenance costs increase
Solution Approach 1:
The patent transitions from a two-dimensional ground-based tracking station network to a three-dimensional collaborative network involving cloud platforms and mobile stations. By utilizing the cloud dimension for centralized processing and collaboration, the system achieves global coverage without physically deploying tracking stations everywhere, effectively adding a dimensional layer to the service architecture
Solution Approach 2:
The patent enables the RTK system to serve itself through mobile stations that automatically determine their own status, fix their own ambiguity, and provide RTK services to others without manual configuration. Mobile stations self-organize into the RTK network based on their observation data quality and geographic location, eliminating the need for centralized management of numerous tracking stations
Data Source
AI summary
A method includes when a first mobile station uploads an observation value, determining whether a tracking station for performing Real-Time Kinematic (RTK) resolution on the first mobile station is included; otherwise, determining a second mobile station that obtains an RTK fixed solution and satisfies a preset condition as a temporary base station; selecting one of the determined temporary base stations as the tracking station for performing RTK resolution on the first mobile station; and performing RTK resolution according to the selected tracking station for performing RTK resolution on the first mobile station. The second mobile station is another mobile station other than the first mobile station. When the tracking station for performing RTK resolution on the first mobile station is not included, a temporary base station is selected for RTK resolution, and the coverage of an RTK service is expanded without adding the tracking station.