Mobile Device Tag Data Aggregation via Signal Fingerprint Matching
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Solution Overview
Problem
In challenging environments such as indoor spaces and areas with high buildings or irregular terrain, traditional radio signal triangulation methods fail to accurately determine mobile device location due to signal fade and multipath issues, making it difficult to provide location-based services.
Innovation Solution
A computer-implemented method that aggregates and disseminates tag data using signal fingerprints, allowing mobile devices to receive location-based content without requiring exact location determination, by generating and transmitting signal fingerprints associated with tags to a remote system for matching and content provision.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional radio signal triangulation methods are used to determine mobile device location, then location-based services can be provided, but the methods fail in challenging environments such as indoor spaces and areas with high buildings or irregular terrain due to signal fade and multipath issues
Solution Approach 1:
The patent creates a virtual copy of the physical environment by generating signal fingerprints that represent radio signal characteristics at specific locations. Instead of directly triangulating signals in challenging environments, the system creates fingerprint copies of signal profiles at known locations and matches them against observed signals, enabling location determination where traditional triangulation fails.
Solution Approach 2:
The patent introduces signal fingerprints as an intermediary between the radio signal environment and location determination. Rather than directly using signal strength for triangulation, the system uses fingerprints as a mediator that captures environmental characteristics and enables location matching through comparison, bridging the gap between signal observations and location identification in complex environments.
2Measurement precision
If exact location data is collected from mobile devices to provide location-based content, then precise location-based services can be delivered, but this requires complex triangulation methods that are infeasible in many environments
Solution Approach 1:
The patent replaces complex triangulation calculations with a simpler fingerprint matching approach. Instead of performing complex mathematical triangulation to derive precise location coordinates, the system creates fingerprint copies of signal environments and matches them to identify locations, significantly reducing computational complexity while maintaining effectiveness in challenging environments.
Solution Approach 2:
The patent inverts the traditional approach by not trying to calculate location from signals, but rather by matching signals against pre-collected fingerprint profiles. Instead of deriving location through complex forward calculation, the system works backward by comparing observed signals against a database of known signal profiles, simplifying the determination process.
3Loss of information
If signal triangulation is employed to determine mobile device position, then location information can be obtained, but signal fade and multipath problems make straightforward employment unfeasible in indoor and urban environments
Solution Approach 1:
The patent converts the harmful effects of signal fade and multipath into beneficial information by capturing these characteristics in signal fingerprints. Instead of treating signal degradation as noise to be eliminated, the system uses the unique signal profile including fade and multipath effects as identifying characteristics for location matching, turning environmental challenges into location identifiers.
Solution Approach 2:
The patent creates fingerprints that copy the complete signal environment including harmful effects. By capturing signal profiles that include fade and multipath characteristics at known locations, the system preserves these previously harmful effects as useful identification data for matching and location determination.
Data Source
AI summary
A computer-implemented method for aggregating and disseminating tag data is provided. The method includes receiving a tag generated at a particular time from a particular mobile device. Data indicative of a particular location of the particular mobile device is received corresponding to the particular time. The tag is associated with the location indicative data of the particular mobile device. Data indicative of a location of one or more other mobile devices is received, and data indicative of the tag is transmitted to the one or more other mobile devices in response to the location indicative data of the one or more other mobile devices corresponding to the location indicative data of the particular mobile device.


