RTK DGNSS Correction Data Fusion for Rapid Position Fixing
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Solution Overview
Problem
Traditional Real-Time Kinematic (RTK) and Differential Global Navigation Satellite System (DGNSS) technologies require a long convergence time for accurate position determination, which is problematic in applications where speed and accuracy are critical, such as autonomous driving.
Innovation Solution
The system selects a plurality of reference stations based on the mobile device's location and visible satellites to provide non-interpolated correction data, allowing the mobile device to combine data from multiple stations for rapid and accurate position fixing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional network-based interpolation of reference station data is used, then position accuracy is improved, but position determination time increases significantly
Solution Approach 1:
The patent divides the correction data provision into two segments: a first plurality of reference stations providing data for rapid initial positioning, and a second plurality of reference stations providing data for refined interpolation-based accuracy. This segmentation allows the system to achieve fast convergence initially, then improve accuracy over time without being constrained by traditional single-method limitations.
Solution Approach 2:
The system dynamically transitions from using correction data from the first plurality of reference stations (for fast initial positioning) to incorporating data from the second plurality of reference stations (for improved accuracy through interpolation). This dynamic approach adapts the positioning method based on convergence stage, resolving the contradiction between speed and accuracy.
2Reliability
If correction data from multiple reference stations is provided, then position accuracy and reliability are improved, but data processing complexity increases
Solution Approach 1:
The patent segments the reference station network into a first plurality and a second plurality, where the first group provides correction data for rapid initial positioning and the second group provides data for refined interpolation. This segmentation manages complexity by organizing multiple reference stations into functional groups rather than treating all stations uniformly.
Solution Approach 2:
The system performs preliminary positioning using correction data from the first plurality of reference stations before incorporating data from the second plurality. This preliminary action establishes an initial position solution that can be refined later, reducing the immediate processing burden while maintaining reliability through multi-station data.
Data Source
AI summary
An Real-Time Kinematic (RTK) and/or Differential GNSS (DGNSS) system is disclosed in which correction data from a plurality of reference stations is provided to the mobile device. A selection of reference stations (from which correction data is provided to the mobile device) can be made based on factors such as the approximate location of the mobile device, geometry of the reference stations, and/or other factors. The mobile device can combine the correction data from the plurality of reference stations in different ways to determine an accurate position fix for the mobile device, without interpolating correction data from the plurality of reference stations.