GNSS Sensor Data Rating for Position Accuracy
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Solution Overview
Problem
GNSS sensors face performance degradation due to satellite visibility issues and environmental obstacles, leading to erroneous position, velocity, and acceleration calculations in GNSS-based location systems, particularly in critical surroundings where direct monitoring is inadequate.
Innovation Solution
A method that involves receiving GNSS satellite signals, evaluating them to ascertain sensor data, rating the signals based on GNSS-specific performance criteria, and associating these ratings with the sensor data to assess and improve the quality and reliability of the data, which includes determining if the performance, reliability, and quality of the GNSS satellite signals are adequate or inadequate, and taking measures such as weighting or bypassing data based on these ratings.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If GNSS satellite signals are received and evaluated to ascertain sensor data, then position, velocity, and acceleration calculations can be performed, but the performance and reliability degrade in critical surroundings with satellite visibility issues and environmental obstacles
Solution Approach 1:
The system continuously monitors GNSS signal quality metrics (number of visible satellites, geometric dilution of precision, signal-to-noise ratio, carrier-to-noise ratio) and uses this feedback to dynamically adjust data processing. When quality thresholds are violated, the system triggers containing measures such as weighting adjustments or data bypassing, creating a closed-loop feedback mechanism that maintains reliability despite varying environmental conditions
Solution Approach 2:
The system changes processing parameters based on signal quality assessment. By evaluating multiple GNSS-specific performance criteria and adjusting weighting factors or selecting different data sources based on current signal conditions, the system adapts to critical surroundings and maintains measurement precision when reliability would otherwise degrade
2Reliability
If GNSS sensor data is provided without quality assessment, then the system operation is simple, but erroneous data from blocked satellites leads to incorrect position, velocity, and attitude information
Solution Approach 1:
The system performs preliminary evaluation of GNSS signal quality before using the data for position calculations. By pre-assessing multiple performance criteria (satellite visibility, geometric distribution, signal strength) and assigning quality ratings in advance, the system prevents erroneous data from entering the processing chain, maintaining reliability without requiring complex real-time corrections
3Difficulty of detecting and measuring
If surrounding environment is monitored using additional sensors (camera, LIDAR, RADAR, ultrasonic), then environmental conditions can be detected, but these sensors cannot adequately monitor or detect critical GNSS reception conditions
Solution Approach 1:
The system introduces GNSS-specific quality metrics as intermediary parameters that directly measure reception conditions. Rather than relying on general environmental sensors, the system uses dedicated GNSS performance indicators (number of visible satellites, geometric dilution of precision, carrier-to-noise ratio) that serve as direct mediators between the physical signal conditions and the reliability assessment, enabling accurate detection of critical reception situations
Data Source
AI summary
The disclosure concerns a method for providing GNSS sensor data, comprising at least the following steps: (a) receiving GNSS satellite signals; (b) evaluating the received GNSS satellite signals to ascertain GNSS sensor data; (c) rating the received GNSS satellite signals on the basis of at least one GNSS-specific performance criterion; and (d) associating a rating that results from step (c) with the related GNSS sensor data.