Weighted Multi-Source Location Fusion for Emergency Call Accuracy
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Solution Overview
Problem
Mobile phones often provide unreliable location information, leading to challenges in accurately determining the caller's location during emergency calls and other location-based services.
Innovation Solution
A system that generates optimal location data by combining location data from multiple sources, using weights based on uncertainty to improve accuracy, mitigating errors from multipath sources.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If location data is obtained from multiple sources and combined using weighted averaging based on uncertainty, then location accuracy is improved, but device complexity increases
Solution Approach 1:
The patent combines location data from multiple sources (GPS, Wi-Fi, cellular towers, sensors) into a single optimized location estimate by calculating a weighted average where weights are determined by the inverse of each source's uncertainty. This merging of multiple data sources improves measurement precision while the systematic approach to combination manages the complexity through standardized processing algorithms.
Solution Approach 2:
The patent dynamically adjusts the weighting parameters for each location source based on real-time uncertainty assessments. By changing the weight parameters according to the reliability of each source (inversely proportional to uncertainty), the system optimizes location accuracy without requiring manual intervention, thereby managing complexity through automated parameter adaptation.
2Reliability
If multiple location sources are combined with weighted averaging, then reliability of location data is improved, but computational requirements increase
Solution Approach 1:
The patent applies partial action by selectively processing location sources based on their uncertainty levels. Instead of equally processing all possible location sources, the system focuses computational effort on the most reliable sources (those with lowest uncertainty), applying weighted averaging primarily to high-quality data while reducing or excluding low-quality sources, thereby improving reliability without excessive computational energy consumption.
Solution Approach 2:
The system dynamically changes the inclusion and weighting parameters for each location source based on real-time uncertainty assessments. By adjusting these parameters, the system optimizes the balance between reliability improvement and computational energy usage, processing only the necessary subset of location data required to achieve the desired accuracy level.
Data Source
AI summary
Systems and methods for generating optimal location data for a user device that is using a location-based service. Location data (e.g., horizontal location data, vertical location data, or a combination thereof) for the user device are obtained from multiple sources. A weight is generated for each corresponding source based on a location uncertainty for the corresponding source relative to a combined location uncertainty for the plurality of sources. Weighted location data is generated for each corresponding source based on a combination of the location data for the corresponding source and the weight for the corresponding source. Combined location data is then generated for the user device based on a combination of the weighted location data for the plurality of sources. The combined location data is set as the captured location data of the user device for the location-based service.