GNSS Signal Qualification for Mobile Device Positioning
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Solution Overview
Problem
Existing positioning systems for mobile devices face challenges in accurately accounting for fast-varying errors in GNSS signals, particularly in real-time applications, as these errors cannot be predicted and can lead to inaccuracies in calculated positions.
Innovation Solution
A method that involves time-synchronizing a GNSS receiver with the GNSS system time, allowing for the qualification of satellite signals based on signal propagation characteristics, where only valid signals are used for position calculation, thereby mitigating the impact of fast-varying errors.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If all received satellite signals are used for position calculation, then the quantity of data for positioning is increased, but fast-varying errors in invalid signals lead to position inaccuracies
Solution Approach 1:
The patent applies local quality by differentiating between valid and invalid satellite signals on a per-signal basis. Each satellite signal is individually evaluated using signal propagation characteristics (such as signal strength, noise level, or geometric dilution of precision) to determine its validity. Only signals meeting specific quality criteria are included in the position calculation, while problematic signals are excluded. This selective approach ensures that high-quality signals contribute to positioning accuracy without being degraded by low-quality or invalid signals.
Solution Approach 2:
The system performs self-service by autonomously evaluating and filtering satellite signals without requiring external intervention. The mobile device automatically calculates signal propagation characteristics, compares them against predetermined thresholds, and selectively uses valid signals for position determination. This self-filtering mechanism enables the system to adapt to varying signal conditions in real-time, maintaining positioning accuracy even in challenging environments with mixed signal quality.
2Measurement precision
If signal filtering based on propagation characteristics is implemented, then position accuracy is improved, but the complexity of signal processing is increased
Solution Approach 1:
The patent implements preliminary action by pre-establishing thresholds for signal propagation characteristics before actual positioning occurs. These thresholds (such as minimum signal strength, maximum noise level, or acceptable geometric dilution of precision values) are determined in advance based on empirical data or system requirements. During real-time operation, the system simply compares incoming signal characteristics against these pre-set thresholds, rather than performing complex real-time optimization calculations. This approach maintains high positioning accuracy while minimizing processing complexity and computational burden.
3Reliability
If strict signal validation is applied, then the reliability of position data is improved, but the time required for position calculation is increased
Solution Approach 1:
The patent applies partial action by implementing a tiered signal validation approach. Rather than applying equally strict validation to all satellite signals, the system evaluates signals based on their individual characteristics and applies appropriate validation levels. High-quality signals that clearly meet all criteria undergo minimal validation, while signals with marginal characteristics receive more thorough scrutiny. This selective validation strategy ensures reliable position data by filtering out clearly invalid signals while quickly accepting obviously valid signals, thus maintaining reliability without excessive processing time.
Data Source
AI summary
A method and system for estimating a position of a mobile device is disclosed. In particular, a method and system in which the position of a mobile device is determined using measurements of received Global Navigation Satellite System, GNSS, satellite signals is disclosed. The present invention therefore proposes to qualify a received satellite signal based on whether a signal propagation characteristic of this signal falls within an expected range of this characteristic. The expected range is determined using information about the satellite that sent the signal. The position of the mobile device is computed based on the validated satellite signals.


