GNSS Space Vehicle Filtering for Accurate Static Positioning
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Solution Overview
Problem
In challenging GNSS environments, such as urban areas, high-rise buildings cause large measurement errors in GNSS measurements, leading to inaccurate position estimates for devices, which can impact emergency location services by incorrectly locating users.
Innovation Solution
A technique for enhanced positioning that removes GNSS measurements with large errors and utilizes external coarse positioning assistance data to improve accuracy, particularly in static scenarios.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If GNSS measurements from multiple space vehicles are used to determine device position, then the quantity of positioning data increases, but measurement errors increase leading to reduced positioning accuracy
Solution Approach 1:
The patent extracts and removes erroneous GNSS measurements from the set of available measurements. By identifying measurements with excessive error (comparing measurement error against horizontal uncertainty thresholds) and removing them from the SV list, the system eliminates harmful data points while retaining valid ones, thereby improving positioning accuracy without sacrificing the benefits of multiple measurements
Solution Approach 2:
The patent changes the parameter composition of the measurement set by dynamically adjusting which space vehicles are included based on error thresholds. By modifying the SV list to exclude measurements where measurement error exceeds horizontal uncertainty, the system optimizes the quality of input data for positioning calculations, transforming a static measurement set into a dynamically optimized one
2Adaptability or versatility
If all available space vehicles are included in positioning calculations, then positioning coverage is improved, but positioning accuracy deteriorates due to inclusion of erroneous measurements
Solution Approach 1:
The patent applies local quality by treating each GNSS measurement individually with different quality assessments. Instead of uniformly including or excluding all measurements, the system evaluates each measurement's error characteristics against horizontal uncertainty thresholds and selectively includes only those with acceptable quality, thereby maintaining coverage from multiple SVs while ensuring each contributes positively to accuracy
Solution Approach 2:
The patent creates an updated SV list that is a filtered copy of the original SV list. By generating this selective copy that excludes erroneous measurements while preserving valid ones, the system maintains the structural framework of multi-SV positioning coverage while improving the quality of individual measurement contributions
Data Source
AI summary
Disclosed are systems and techniques for wireless positioning. For example, a computing device can determine a device is static. The device can determine a plurality of space vehicles (SVs) comprises more than a threshold number of SVs. The device can determine measurement errors of measurements of signals from one or more SVs of the plurality of SVs are greater than a horizontal uncertainty for the device based on current external positioning assistance data for the device. The device can remove the one or more SVs from an SV list comprising the plurality of SVs to generate an updated SV list. The device can determine the one or more positions for the device based on measurements of signals from SVs in the updated SV list and the current external positioning assistance data.