Satellite Navigation Integrity Monitoring for Atmospheric Corrections
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Solution Overview
Problem
Current satellite navigation systems face challenges in providing integrity monitoring for atmospheric correction data, particularly ionospheric corrections, which are crucial for safety-critical applications like highly automated driving, due to inadequate integrity information from correction services.
Innovation Solution
A method and apparatus that utilize gradients and profile information from state data derived from satellite signals to create a four-dimensional electron density model, enabling integrity monitoring through the use of terrestrial measuring stations and geostationary satellites, allowing for the calculation and transmission of error models to ensure reliable integrity information.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If correction data is provided using a network of terrestrial measuring stations, then atmospheric correction accuracy is improved, but device complexity and infrastructure requirements increase
Solution Approach 1:
Geostationary satellites serve as intermediaries to transmit correction data and integrity information from terrestrial measuring stations to satellite receivers. This mediator approach enables the benefits of ground-based correction networks without requiring direct physical infrastructure at every receiver location, reducing overall system complexity while maintaining correction accuracy.
Solution Approach 2:
The geostationary satellites perform multiple functions: they transmit both correction data and integrity information, provide continuous coverage over large geographic areas, and enable both atmospheric correction and integrity monitoring using the same infrastructure. This multi-functionality reduces the need for separate specialized systems.
2Reliability
If integrity monitoring is implemented using state data from satellite signals, then reliability of safety-critical applications is improved, but use of energy and computational requirements increase
Solution Approach 1:
Integrity information is calculated and prepared in advance by terrestrial measuring stations and transmitted via geostationary satellites before being needed by the satellite receiver. This preliminary computation at ground stations reduces the computational burden on mobile receivers, lowering their energy consumption while maintaining reliability.
Solution Approach 2:
The computationally intensive tasks of calculating integrity information from state data are extracted from the satellite receiver and performed instead by ground-based processing systems. The receiver only needs to process the pre-computed integrity information, significantly reducing its energy requirements while maintaining monitoring reliability.
3Measurement precision
If four-dimensional electron density models are created using measurement values from satellite receivers, then measurement precision of atmospheric parameters is improved, but loss of time for data processing increases
Solution Approach 1:
Terrestrial measuring stations continuously collect state data from satellite signals and continuously update the electron density models in real-time. This continuous data collection and processing eliminates gaps in model availability, providing always-current atmospheric information without requiring batch processing delays, thus reducing time loss while maintaining high precision.
Data Source
AI summary
A method for providing integrity information for checking atmospheric correction parameters for the correction of atmospheric disturbances for satellite navigation for a vehicle includes reading state signals relating to a state of an atmosphere between at least one satellite receiver and at least one satellite of the at least one satellite receiver. Each state signal represents certain state data that are transmitted between a satellite and a satellite receiver. The method further includes using at least one satellite signal and that are dependent on a state of the atmosphere between the satellite and the satellite receiver. The method further includes determining the integrity information using the state data. A variation of the state data against time is analyzed.