LEO-Augmented UDUC PPP-RTK for Faster Wide-Area Convergence
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Solution Overview
Problem
Wide-area UDUC PPP-RTK positioning experiences prolonged convergence times due to the difficulty in accurate ionospheric delay interpolation, especially in kinematic modes, leading to inefficiencies in integer ambiguity resolution.
Innovation Solution
Integrate navigation signals from Low-Earth-Orbit (LEO) satellite navigation systems into UDUC PPP-RTK network end observation equations, solve network end parameters, correct user end observations, and perform partial ambiguity resolution using LEO-integrated GNSS observations to shorten convergence time.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If wide-area UDUC PPP-RTK positioning uses ionosphere-float model for solving ionospheric delay, then positioning flexibility is maintained, but convergence time is significantly prolonged
Solution Approach 1:
The patent introduces LEO satellites as an intermediary component between ground-based GNSS receivers and the ionosphere. LEO satellites carry ionospheric total electron content (TEC) measurements from multiple ground stations, acting as mobile intermediaries that deliver ionospheric correction information to users in wide-area regions where traditional ground station networks are sparse. This mediator approach enables users to obtain ionospheric corrections without relying solely on local ground stations or performing complex ionosphere-float modeling, thus reducing convergence time while maintaining positioning flexibility.
Solution Approach 2:
The patent transitions from a two-dimensional ground-based ionospheric correction network to a three-dimensional space-based correction system by deploying LEO satellites. This dimensional change allows ionospheric corrections to be delivered from space to ground users, expanding the coverage area and enabling users in remote or wide-area regions to access ionospheric corrections that would otherwise be unavailable, thereby reducing convergence time without sacrificing positioning adaptability.
2Measurement precision
If ground station network coverage is expanded to reduce ionospheric interpolation errors, then positioning accuracy improves, but system complexity and cost increase
Solution Approach 1:
LEO satellites serve as mobile intermediaries that collect ionospheric TEC measurements from multiple ground stations and relay them to users in orbit or to ground receivers. This intermediary approach allows the system to achieve accurate ionospheric corrections without requiring a dense, fixed ground station network, thereby reducing system complexity and cost while maintaining or improving ionospheric delay accuracy through the satellite's ability to traverse multiple ground stations and gather diverse measurements.
Solution Approach 2:
The patent changes the spatial and temporal parameters of ionospheric measurement collection by using LEO satellites. Instead of relying on a static ground station network with fixed spatial distribution, the satellite-based system dynamically samples the ionosphere along its orbital path, collecting TEC measurements at different locations and times. This parameter change enables accurate ionospheric modeling with fewer ground stations, reducing network complexity while maintaining measurement precision.
3Loss of time
If LEO satellite signals are integrated into UDUC PPP-RTK observation equations, then convergence time is shortened, but observation equation complexity increases
Solution Approach 1:
The patent merges LEO satellite observation equations with traditional GNSS UDUC PPP-RTK observation equations into a unified integrated observation model. By combining the measurement equations from both LEO and GNSS systems, the patent creates a synergistic model that leverages the complementary strengths of both satellite types. The LEO observations provide additional geometric diversity and ionospheric sampling, accelerating convergence, while the unified equation structure manages complexity through systematic integration rather than separate processing.
Solution Approach 2:
The integrated observation equation serves multiple functions simultaneously: it processes both GNSS and LEO satellite measurements, estimates user position, resolves carrier-phase ambiguities, and models ionospheric delays. This multi-functional observation model eliminates the need for separate processing chains for different satellite systems, managing complexity through a universal framework that handles diverse measurements and objectives in a unified mathematical structure, thereby achieving rapid convergence without proportionally increasing operational complexity.
Data Source
AI summary
An LEO-augmentation-based convergence time shortening method of wide-area UDUC PPP-RTK positioning is provided, which includes: establishing UDUC PPP-RTK network end observation equations of GNSSs, and integrating navigation signals of an LEO satellite navigation system into the UDUC PPP-RTK network end observation equations, to obtain LEO-integrated GNSS UDUC PPP-RTK network end observation equations; solving network end parameters of the LEO-integrated GNSS UDUC PPP-RTK network end observation equations; correcting user end GNSS UDUC observation equations and user end LEO UDUC observation equations according to the network end parameters; solving corrected user end GNSS UDUC observation equations and corrected user end LEO UDUC observation equations, to obtain a user end positioning vector in an ambiguity-float mode; and a user end float ambiguity vector and its variance-covariance matrix; and using the user end float ambiguity vector and the variance-covariance matrix to perform the PAR; and obtain PPP-RTK user positioning in a PAR-enabled mode.


