Hybrid RTK-PPP GNSS Positioning for Fast Convergence
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Solution Overview
Problem
Current Global Navigation Satellite System (GNSS) position data lacks precision, necessitating methods to enhance accuracy for applications requiring more precise positioning.
Innovation Solution
A method combining Real Time Kinematics (RTK) and Precise Point Positioning (PPP) techniques using Differential GNSS correction data, where a mobile system receives correction data from a transmitter, estimates an initial position using RTK, and then uses estimated parameters to refine a second position using PPP, improving precision and reducing convergence time.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If PPP method is used for position estimation, then measurement precision is improved, but convergence time increases
Solution Approach 1:
The system performs preliminary RTK position estimation using broadcast correction data before initiating PPP convergence. This preliminary action provides an initial position estimate that accelerates the PPP convergence process, allowing the system to achieve high-precision positioning faster than traditional PPP alone would allow.
Solution Approach 2:
The system merges RTK and PPP methods into a hybrid positioning solution. The RTK component provides rapid initial convergence using broadcast correction data, while the PPP component maintains high precision over time. This combination achieves both fast convergence and sustained measurement precision.
2Loss of time
If RTK method is used for position estimation, then convergence time is reduced, but measurement precision deteriorates
Solution Approach 1:
The system uses RTK estimation as an intermediary step to bridge the gap between standard GNSS positioning and full PPP convergence. The RTK provides a rapid intermediate position estimate that serves as a starting point for PPP, combining the speed advantage of RTK with the precision advantage of PPP.
3Measurement precision
If multiple reference stations are deployed, then measurement precision is improved, but device complexity increases
Solution Approach 1:
The system extracts and utilizes broadcast correction data from existing D-GNSS infrastructure rather than requiring a dense network of dedicated reference stations. This approach leverages existing resources to achieve high precision without proportionally increasing infrastructure complexity.
Solution Approach 2:
The system designs the mobile platform to perform multiple functions: it can operate with standard GNSS, augment with RTK using broadcast data, and transition to PPP mode. This multi-functionality allows the system to achieve high precision across different operational scenarios without requiring specialized infrastructure for each mode.
Data Source
AI summary
A method for determining positions of a mobile system is disclosed. The method involves receiving, by a receiver of the mobile system, a first set of correction data which is broadcasted from a first transmitter, wherein the first set of correction data comprises Differential Global Navigation Satellite System (D-GNSS) correction data, estimating, using a real-time kinematics (RTK) method, a first position of the mobile system using at least a portion of the first set of correction data, estimating one or more unknown parameters of a precise point positioning (PPP) estimation method based at least on the estimated first position of the mobile system and the first set of correction data, and estimating a second position of the mobile system using the estimated one or more parameters and the PPP estimation method, wherein the second position of the mobile system is different from the first position of the mobile system.