Phase Scintillation Map for GNSS Signal De-weighting
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Traditional methods for de-weighting satellite signal observations from GNSS satellites due to ionospheric scintillation are ineffective as they rely on elevation and signal carrier-to-noise-density ratio, which do not accurately predict signal degradation.
Innovation Solution
A system and method that generates a phase scintillation map by determining the adverse effects of ionospheric scintillation on GNSS satellite signals, assigning index values to satellites, and transmitting this information to a central server to create a map indicating scintillation bubbles, allowing rovers to de-weight observations from satellites within these bubbles.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional methods use elevation and C/N0 to de-weight satellite signal observations, then the de-weighting process is simple, but the positioning accuracy deteriorates because these parameters do not accurately predict ionospheric scintillation effects
Solution Approach 1:
The system performs preliminary action by generating a phase scintillation map in advance that identifies scintillation bubbles and their locations. Base stations pre-calculate index values indicating the extent of ionospheric scintillation effects on satellite signals. This pre-computed information is then used by rovers to accurately de-weight observations from satellites whose signals pass through scintillation bubbles, improving positioning accuracy without requiring complex real-time calculations at the rover.
2Reliability
If the system generates a phase scintillation map with scintillation bubble locations, then the accuracy of identifying affected satellite signals improves, but the device complexity increases due to additional base station measurements and central server processing
Solution Approach 1:
The system segments the ionospheric monitoring function by having base stations independently measure satellite signals and determine index values indicating ionospheric scintillation effects. Each base station processes its own measurements locally to generate scintillation information for its visible satellites. The central server then aggregates these segmented measurements from multiple base stations to generate a comprehensive phase scintillation map, dividing the complex task into manageable local measurements and centralized processing.
Solution Approach 2:
The central server acts as an intermediary that receives scintillation measurements and index values from multiple base stations, processes this information to generate the phase scintillation map, and then distributes the map to rovers. This intermediary role simplifies the system architecture by centralizing the complex map generation algorithm while allowing base stations to perform simpler local measurements and rovers to use pre-computed map information.
3Measurement precision
If base stations measure satellite signals and assign index values indicating ionospheric scintillation effects, then the precision of scintillation detection improves, but the loss of time increases due to additional measurement and processing steps
Solution Approach 1:
Base stations perform preliminary measurements of satellite signals and assign index values indicating ionospheric scintillation effects in advance. These measurements and calculations are completed before the rover needs to use the information for positioning. The central server generates the phase scintillation map using these pre-computed index values, so when the rover receives the map, the scintillation detection is already complete and ready for immediate use, minimizing the time loss at the critical positioning moment.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Improves positioning accuracy by prioritizing satellite signal observations from satellites not affected by ionospheric scintillation, enhancing the reliability of GNSS systems by accurately accounting for scintillation-induced signal degradation.
Implementation Method 1
Particular portions or regions of the ionosphere, known as scintillation bubbles, are susceptible to ionospheric scintillation which causes radio-frequency signals passing through the scintillation bubble to experience rapid fluctuations in phase and/or amplitude.
Implementation Method 2
The ionosphere is a layer of the Earth's atmosphere that is ionized by solar and cosmic radiation
Data Source
AI summary
A system and method generates a phase scintillation map that is utilized to de-weight satellite signal observations from GNSS satellites. One or more base stations each assign an index value to one or more GNSS satellite in view, where the index value indicates an adverse effect of ionospheric scintillation on signals received from the GNSS satellite. The values and identifiers may be transmitted to a server. The server utilizes the received information to generate the phase scintillation map that may include one or more scintillation bubbles, wherein a location of each scintillation bubble is based on the received information. The phase scintillation map is transmitted to one or more rovers. The rover determines if a pierce point associated with a selected GNSS satellite in view of the rover falls within the boundaries of a scintillation bubble. If so, satellite signal observations from the selected GNSS satellite are de-weighted.