Satellite Tracking Mode Selection for Low-Power GNSS Positioning
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Solution Overview
Problem
In locations with lower signal interference, such as rural areas, tracking all available satellites for positional and navigational data leads to increased power and computing resource consumption by user equipment (UE) despite meeting quality and accuracy standards with fewer satellites.
Innovation Solution
Implementing an efficient satellite tracking mode that reduces the number of satellites tracked based on signal environment data, using strategies like tracking only modernized signals or specific elevation angles, while maintaining signal quality and accuracy thresholds.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the UE tracks all available satellites to meet quality and accuracy standards, then the positional and navigational data accuracy is improved, but the power and computing resource consumption increases
Solution Approach 1:
The patent applies partial action by tracking only a subset of visible satellites rather than all available satellites. The system determines a first set of tracked satellites from the visible satellites, where the first set is smaller than the total visible satellites, yet still meets the required positional accuracy threshold. This reduces power consumption while maintaining adequate measurement precision.
Solution Approach 2:
The system dynamically changes the parameter of satellite tracking count based on signal environment conditions. In rural areas with low interference, it tracks fewer satellites; in urban areas with high interference, it tracks more satellites. This adaptive parameter adjustment optimizes the balance between power consumption and positional accuracy.
2Reliability
If the UE tracks all available satellites, then the reliability of navigational data is improved, but the computing resource consumption increases
Solution Approach 1:
The system processes only a partial set of satellite signals needed to meet reliability thresholds. By determining the minimum required satellites for accurate positioning and processing only those, the system reduces computing resource consumption while maintaining navigational data reliability.
Solution Approach 2:
The patent segments the satellite tracking process into different operational modes (first mode and second mode) based on signal environment. This segmentation allows the system to apply different processing complexities appropriately, reducing overall computing resource consumption while maintaining reliability in each context.
3Use of energy by moving object
If the UE uses a simplified satellite tracking mode to reduce power consumption, then the power efficiency is improved, but the signal quality may deteriorate
Solution Approach 1:
The system dynamically adjusts the satellite tracking mode based on real-time signal environment assessment. It transitions between first mode (higher power, better quality) and second mode (lower power, adequate quality) depending on whether the location is urban or rural. This dynamic adaptation ensures signal quality requirements are met while optimizing power efficiency.
Solution Approach 2:
The system uses feedback from signal environment analysis to determine the appropriate tracking mode. By continuously assessing signal conditions and adjusting satellite tracking accordingly, the system maintains signal quality thresholds while achieving power efficiency in suitable conditions.
4Use of energy by moving object
If the UE adapts satellite tracking strategy based on location to improve power efficiency, then the power consumption is reduced, but the system complexity increases
Solution Approach 1:
The patent applies local quality by implementing location-specific satellite tracking strategies. Rural locations use a simplified tracking mode with fewer satellites, while urban locations use a comprehensive tracking mode with more satellites. This localized approach reduces overall power consumption without requiring complex adaptive algorithms throughout the entire system.
Data Source
AI summary
An efficient satellite vehicle (SV) tracking mode that, when utilized by user equipment (UE), consumes less power and/or computing resources of the UE than a default SV tracking mode of tracking all visible SV, while maintaining consistent signal quality and/or positional, navigational, and/or timing information accuracy standards. Furthermore, use of the efficient SV tracking mode may be determined and implemented based on a signal environment associated with a location of the UE. In particular, the efficient SV tracking mode may be associated with a location based on a determination that signal quality thresholds are met during use of the efficient SV tracking mode at the location. Additionally or alternatively, the location may be associated with a geofenced area. The geofenced area may define a geographical area corresponding to implementation of the efficient SV tracking mode by a UE located within the geofenced area.