Satellite Navigation Ionospheric Correction Validation

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Solution Overview

Problem

Existing satellite navigation systems face challenges in accurately correcting for local ionospheric interference, as reference station networks may be too sparse to detect and model these effects reliably, leading to inconsistencies in positioning data.

Innovation Solution

A method and apparatus that compare ionospheric correction parameters received from a service provider with independently calculated values from a GNSS receiver, using satellite signals to identify deviations and adjust for local ionospheric interference, thereby enhancing the integrity and accuracy of satellite navigation.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If reference station networks are used to provide ionospheric correction data, then systematic errors can be corrected and positioning accuracy improved, but local ionospheric interference may remain undetected due to sparse station distribution

Engineering Contradiction:
Improvepositioning accuracyVSAvoiddetection of local ionospheric interference
Core Design Contradiction:
Measurement precisionVSReliability

Solution Approach 1:

The system compares the correction data from reference stations with independently calculated ionospheric correction values from the user's own observations. This feedback mechanism allows the system to detect inconsistencies between model-based corrections and actual observations, enabling identification of local ionospheric interference that would otherwise remain undetected by sparse reference station networks.

Inventive Principle:
Principle #23Feedback

Solution Approach 2:

The user's GNSS receiver performs self-calibration by using its own observations to calculate ionospheric correction values. Instead of relying solely on external reference station data, the system enables the receiver to generate its own correction data and compare it with received corrections, making the system self- validating and capable of detecting local anomalies.

Inventive Principle:
Principle #25Self-service

2Reliability

If correction data services are used to provide ionospheric correction parameters, then systematic errors within the GNSS system can be corrected, but local ionospheric interference can occur and remain hidden from the reference station network

Engineering Contradiction:
Improvecorrection of systematic errorsVSAvoidlocal ionospheric interference
Core Design Contradiction:
ReliabilityVSObject-affected harmful factors

Solution Approach 1:

The system continuously compares the correction parameters received from the correction data service with independently calculated values based on local observations. This feedback loop enables the system to detect when local ionospheric conditions deviate from the model-based corrections, allowing the receiver to identify and compensate for local interference while maintaining the benefits of systematic error correction.

Inventive Principle:
Principle #23Feedback

Solution Approach 2:

The system transitions from using uniform correction data applicable to broad regions to enabling locally-adapted correction validation. By comparing received corrections with locally-observed values, the system allows each user location to independently assess whether the standard correction parameters are appropriate for its specific local conditions, effectively making the correction process locally-adapted.

Inventive Principle:
Principle #3Local quality

Data Source

PatentUS11333768B2Method and apparatus for checking ionospheric correction parameters for satellite navigation for a vehicle
Publication Date: 2022.05.17 ROBERT BOSCH GMBH
  • US11333768B2 patent drawing
  • US11333768B2 patent drawing
  • US11333768B2 patent drawing

AI summary

The disclosure relates to a method for checking ionospheric correction parameters for satellite navigation for a vehicle. The method has a step of reading a provider signal from an interface with a correction data provider. The provider signal represents ionospheric correction parameters for correcting ionospheric influences for a geographic position in satellite navigation. The method also has a step of determining correction data using information relating to the state of the ionosphere between a satellite receiver of the vehicle at the geographic position and at least one satellite. The state information is defined using at least one satellite signal transmitted between the at least one satellite and the satellite receiver. The method also has a step of performing a comparison between the ionospheric correction parameters and the correction data in order to check the ionospheric correction parameters.