Cloud PPP-RTK Correction Grids for Faster Global Convergence
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Solution Overview
Problem
Conventional PPP technologies suffer from long convergence times, especially in real-time, high-precision, and high-dynamic applications, and existing PPP-RTK systems require numerous ground stations for wide-area coverage, which is costly and difficult to achieve globally.
Innovation Solution
A cloud-end architecture-based PPP-RTK augmentation system that leverages a large number of user ends to perform point positioning, upload space correction information via communication links, and utilize a cloud platform for intelligent interpolation and broadcasting of gridded correction information via LEO satellites.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional floating-point solution PPP technology is used, then positioning accuracy is maintained, but convergence time is excessively long
Solution Approach 1:
The system performs preliminary actions by pre-establishing a global network of virtual reference stations through user ends, pre-calculating and storing correction parameters in the cloud before actual positioning needs arise. This preliminary network setup eliminates the need for each user to wait for convergence, as correction data is already available from the pre-established global infrastructure.
Solution Approach 2:
The patent introduces a cloud platform as an intermediary between user ends and correction data sources. The cloud receives correction parameters from multiple user ends, performs intelligent interpolation to generate gridded correction information, and broadcasts this processed data back to users via LEO satellites. This intermediary processing significantly accelerates convergence compared to direct user-to-satellite correction.
2Loss of time
If PPP-RTK system with dense ground stations is deployed, then PPP convergence time is reduced, but system cost and complexity increase significantly
Solution Approach 1:
The system enables self-service by allowing ordinary user ends to automatically contribute their positioning data to the global network without requiring specialized ground station infrastructure. Each user end independently provides correction data that benefits the entire network, creating a self-sustaining system that eliminates the need for costly dedicated monitoring stations while maintaining rapid convergence performance.
Solution Approach 2:
The patent makes user ends universal by enabling them to serve multiple functions: they act as both positioning receivers and reference stations simultaneously. This multi-functionality allows the system to achieve dense network coverage using existing commercial devices rather than requiring separate specialized ground station infrastructure, dramatically reducing system complexity and cost.
3Area of stationary object
If PPP-RTK system is expanded to wide-area coverage, then service coverage is improved, but number of required stations increases making global coverage difficult
Solution Approach 1:
The patent transitions from a two-dimensional ground-based station network to a three-dimensional space-based solution using LEO satellites. By moving the correction data distribution channel from ground to space, the system achieves global coverage without proportionally increasing ground infrastructure, as satellites naturally provide wide-area and global coverage capabilities that ground stations cannot match cost-effectively.
Solution Approach 2:
The system implements dynamic adaptability by allowing the virtual reference station network to automatically adjust and evolve as user ends are added or removed from the system. The cloud platform dynamically recalculates correction parameters based on the current distribution of active user ends, enabling the service coverage area to expand or contract flexibly without requiring pre-planned station deployments.
Data Source
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AI summary
A "cloud-end" architecture-based PPP-RTK enhancement method. First, massive high-precision user terminals around the globe perform PPP, and once the locations thereof converge, space correction information (comprising ionospheric correction numbers, and tropospheric correction numbers) based on the precise locations thereof is generated, and is uploaded to the "cloud" by means of a communication link. Then, in the "cloud", the space correction information from the massive user terminals is uniformly and intelligently processed to generate gridded space correction parameters, and low-orbit satellites are used to broadcast the space correction information to users in corresponding regions. The user terminals use the received correction information to perform PPP again, and upload the space correction information that is based on the precise locations thereof to the "cloud", which achieves PPP-RTK service around the globe by means of the intelligent evolution of the massive user terminals. The problem in which a traditional PPP-RTK service requires that a large number of ground monitoring stations be built, which is extremely costly and cannot achieve wide-area PPP-RTK service around the globe, is solved.