GNSS Localization Using Route-Based Signal Quality Weighting
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Solution Overview
Problem
GNSS-based localization systems for vehicles face significant position errors in urban areas and under obstructions due to multipath signal propagation and limited satellite visibility, which impairs their accuracy and availability.
Innovation Solution
A method that incorporates GNSS-relevant route information to adjust localization results by evaluating expected GNSS reception quality and interference indicators, allowing for weighting of GNSS data, updating or blocking GNSS measurements, adjusting confidence values, and selecting satellites based on prior information from external assistance systems.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If GNSS-based localization is used in urban areas and under obstructions, then position determination is available, but position errors occur due to multipath signal propagation and limited satellite visibility
Solution Approach 1:
The system performs preliminary evaluation of GNSS-relevant route information before actual localization, assessing expected reception quality and interference indicators in advance. This allows the system to prepare appropriate processing strategies for upcoming locations with potential signal problems, mitigating position errors before they occur.
Solution Approach 2:
The system dynamically adjusts localization parameters based on evaluated route information, including weighting factors for GNSS measurements, confidence values, and satellite selection criteria. These parameter changes enable the system to adapt to varying signal conditions along the route, maintaining accuracy despite multipath propagation and obstructions.
2Device complexity
If GNSS measurements are used without prior route information, then the system remains simple, but localization accuracy deteriorates in areas with impaired reception
Solution Approach 1:
Route information including GNSS reception quality and interference indicators is collected and evaluated in advance, before the vehicle reaches problematic areas. This preliminary action enables the system to incorporate external assistance data without requiring complex real-time processing during localization-critical moments.
Solution Approach 2:
An external assistance system serves as an intermediary, providing pre-processed GNSS-relevant route information to the localization system. This mediator handles the complexity of route evaluation separately, allowing the core localization system to remain relatively simple while still benefiting from enhanced accuracy through the integrated route information.
3Measurement precision
If the system adapts to varying GNSS reception conditions along the route, then localization accuracy improves, but processing complexity increases
Solution Approach 1:
The system adjusts key localization parameters such as measurement weighting factors, confidence values, and satellite selection based on evaluated route information. These parameter changes are driven by pre-assessed reception quality and interference indicators, enabling adaptive accuracy improvement without requiring complex real-time algorithms.
Solution Approach 2:
Complex evaluation of reception quality and interference indicators is performed in advance using external assistance systems, rather than in real-time during localization. This preliminary processing reduces the computational burden on the vehicle's localization system while still enabling adaptive parameter adjustment for improved accuracy.
Data Source
AI summary
A method for taking provided GNSS-relevant route information into account in the GNSS-based localization of vehicles. the method includes: receiving provided GNSS-relevant route information; evaluating at least a part of the GNSS-relevant route information; and taking into account at least one item of provided GNSS-relevant route information or a result of the evaluation of at least one item of provided GNSS-relevant route information during the determination or evaluation of one or more localization results.