Regional Integrity Indicators for Wireless Positioning Accuracy
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Solution Overview
Problem
Local environment measurement issues, such as multipath signal propagation, interference, and spoofing, degrade positioning performance in wireless devices, leading to inaccurate position estimates and potential serious implications in automated or collaborative contexts.
Innovation Solution
A method where a network node determines a regional local environment integrity indicator and sends it to a wireless device, which uses this indicator along with assistance data to assess positioning integrity, allowing the device to prepare for measurement issues and consider their impact on positioning uncertainty, thereby ensuring an adequate assessment of positioning estimate uncertainty.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If wireless devices perform positioning using GNSS signals and other measurements, then positioning service is provided, but local environment measurement issues (multipath, interference, spoofing) degrade positioning performance and lead to inaccurate position estimates
Solution Approach 1:
The system performs preliminary actions by determining regional local environment integrity indicators before positioning occurs. The network node analyzes historical measurement data and determines integrity indicators that indicate potential measurement issues in a region, then provides these indicators to wireless devices beforehand. This allows devices to prepare for and mitigate potential positioning errors caused by multipath, interference, or spoofing in the target region.
Solution Approach 2:
The patent introduces an intermediary mechanism where the network node acts as a mediator between the wireless device and the positioning measurement process. The network node determines regional integrity indicators based on historical data and transmits these indicators to the wireless device. This intermediary provides advance warning about potential measurement issues without requiring the device to directly detect and analyze complex local environment problems in real-time.
2Reliability
If wireless devices autonomously detect and handle measurement issues, then positioning integrity is improved, but device complexity and processing requirements increase
Solution Approach 1:
The network node serves as an intermediary that performs the complex analysis of historical measurement data and determination of integrity indicators. This offloads the complex processing task from the wireless device to the network node, which has greater computational resources and access to historical data. The device simply receives and applies the integrity indicator, significantly reducing device complexity while maintaining positioning integrity.
Solution Approach 2:
Instead of requiring the wireless device to perform complex real-time analysis of measurement issues, the system uses a copy of historical measurement data and analysis results stored in the network node. The network node determines integrity indicators based on this historical data, which then guide the device's positioning behavior without requiring the device to replicate the complex analysis capability.
3Reliability
If network nodes provide detailed local environment integrity information to wireless devices, then positioning integrity is enhanced, but network infrastructure complexity and data management requirements increase
Solution Approach 1:
The system segments the positioning integrity information into discrete regional integrity indicators that are associated with specific geographic regions. Rather than providing comprehensive detailed analysis of all possible measurement issues across the entire network, the system divides the service area into regions and provides integrity indicators for each region. This segmentation reduces the amount of data that needs to be managed and processed while still providing sufficient information for reliable positioning.
Solution Approach 2:
The network node provides integrity indicators that may be more detailed than strictly necessary for basic positioning, ensuring that devices receive sufficient information to handle measurement issues. The system provides partial coverage by focusing on regions where measurement issues are likely to occur, rather than attempting to provide complete analysis everywhere. This partial action approach reduces infrastructure complexity while maintaining adequate positioning integrity.
Data Source
AI summary
A method, system and apparatus are disclosed for wireless device (WD) feared event observations and indicators. In one embodiment, a network node is configured to determine a regional local environment integrity indicator; and send the determined regional local environment integrity indicator to the wireless device. In one embodiment, a wireless device is configured to obtain assistance data and a regional local environment integrity indicator; and determine positioning integrity based on the regional local environment indicator.