GNSS Rover Up-sampling Reference Station Data
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Solution Overview
Problem
In geodesy and precise positioning, existing GNSS systems face challenges in achieving accurate differential navigation/positioning, particularly due to multipath errors and the need for a reliable base station, which can be costly and inefficient, especially in dynamic environments where real-time kinematic (RTK) positioning is required.
Innovation Solution
A GNSS rover unit receives correction signals from a fixed GNSS base unit, with raw data transmitted to a server for processing, allowing for adjusted position data to be calculated and stored, enabling improved accuracy and reducing the reliance on external base stations by using a verified base RTK system that can be set up near the rover, thereby enhancing positioning accuracy and productivity.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a fixed external base station is used for differential positioning, then positioning accuracy is improved, but system cost and setup complexity increase
Solution Approach 1:
The patent creates a virtual copy of the base station functionality by using the rover's own measurements and atmospheric models to generate correction data. Instead of requiring a physical base station, the system synthesizes a virtual base station signal that provides the necessary differential corrections, thereby maintaining positioning accuracy while eliminating the need for external base station infrastructure
Solution Approach 2:
The patent extracts the essential function of the base station (providing correction data) and separates it from the physical infrastructure requirements. By using atmospheric models and rover measurements to generate correction data locally, the system removes the dependency on fixed external base stations while preserving the core functionality needed for accurate differential positioning
2Speed
If real-time kinematic positioning is implemented in dynamic environments, then positioning speed is improved, but susceptibility to multipath errors increases
Solution Approach 1:
The patent applies preliminary action by using atmospheric models to predict and compensate for multipath errors before they significantly affect positioning accuracy. The system pre-calculates correction factors based on atmospheric conditions and uses these to adjust measurements in real-time, thereby maintaining both speed and accuracy in dynamic environments
Solution Approach 2:
The patent implements feedback mechanisms where the rover continuously monitors its own measurements and atmospheric conditions, then uses this information to adjust positioning calculations in real-time. The system feeds back correction data generated from atmospheric models and measurement analysis to compensate for multipath errors, maintaining positioning accuracy while operating at high speed in challenging environments
3Use of energy by moving object
If correction data is collected at lower sampling rates, then data transmission requirements are reduced, but positioning accuracy deteriorates
Solution Approach 1:
The patent applies parameter changes by transforming the correction data into a more compact representation that retains essential information while reducing data volume. The system changes the parameters of data transmission by using differential corrections with reduced precision requirements, atmospheric model parameters, and selective transmission of only critical correction information, thereby reducing energy consumption while maintaining positioning accuracy
Data Source
AI summary
A method of determining a position of a GNSS device includes receiving GNSS signals at the GNSS device from a plurality of GNSS satellites. The GNSS device generates GNSS raw data based on the GNSS signals. The GNSS raw data is stored on the GNSS device. The GNSS device receives first correction data and second correction data. The first correction data and the second correction data are generated from data from at least one reference station. Third correction data is determined based on the first correction data, the second correction data, and the GNSS raw data. Position data for the GNSS device is determined based on the third correction data and the GNSS raw data.