Ranked Parameter Labels for Mobile Geolocation
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Solution Overview
Problem
Current methods for geolocating wireless mobile devices in challenging environments, such as urban areas, face inaccuracies due to variability in RF measurements and the difficulty in populating calibration databases with data from every location, leading to unreliable location estimation.
Innovation Solution
A system and method that generates a calibration database using ranked parameter labels, where labels represent relative measurements from cellular sites, allowing for accurate location determination by comparing candidate labels from mobile devices with a database of actual and synthetic calibration data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional RF measurement methods are used for geolocation, then the system can operate with existing infrastructure, but location accuracy deteriorates in challenging environments such as urban areas
Solution Approach 1:
The patent transforms absolute RF measurement values into relative ranked parameter labels. Instead of using raw measurement values that are sensitive to environmental conditions, the system ranks measurements from multiple base stations to create ordinal labels (e.g., strongest to weakest signal). This parameter transformation makes the geolocation process robust against environmental variability while maintaining reliability in challenging urban areas.
Solution Approach 2:
The patent creates synthetic calibration data that copies the structure and characteristics of actual measured data. By generating synthetic ranked parameter labels through simulation, the system supplements limited real-world calibration data with realistic synthetic examples, enabling accurate location estimation even in uncalibrated regions without requiring extensive physical measurements at every location.
2Measurement precision
If comprehensive calibration data is collected from every location, then location accuracy improves, but the complexity and cost of database population increases significantly
Solution Approach 1:
The patent applies partial action by collecting calibration data only from selected representative locations rather than every possible location. Combined with synthetic data generation, this partial sampling approach achieves sufficient measurement precision for accurate geolocation while dramatically reducing the complexity and resources required for database population compared to comprehensive full-coverage calibration.
Solution Approach 2:
The patent uses synthetic data copying to supplement partial real calibration data. By generating synthetic calibration entries that mimic the statistical properties and patterns of real measurements, the system achieves comprehensive coverage effect without the exhaustive data collection effort, maintaining high measurement precision with reduced operational complexity.
3Reliability
If ranked parameter labels are used instead of absolute measurement values, then robustness to environmental variability improves, but information loss from ranking transformations occurs
Solution Approach 1:
The patent transforms absolute measurement values into ranked parameter labels, accepting some information loss in exchange for significantly improved robustness to environmental variability. The ranking transformation preserves the relative relationships between base station signals while eliminating sensitivity to absolute value variations caused by environmental factors, achieving a favorable trade-off that enhances reliability for mobile geolocation.
Data Source
AI summary
A system and method for generating a calibration database in a communications network. A grid of geographic locations may be generated to cover a region in a communications network having a plurality of cellular sites. A set of network measurement reports (NMRs) is generated for the region, the NMR being a collection of measurement parameters observed at selected geographic locations in the grid. A label may then be generated representing a first measurement parameter observed from ones of the plural cellular sites at one of the selected geographic locations, the label including a relative ranking by cellular site of the first measurement parameter. Using this generated label, a calibration database for the communications network may be populated and locations of mobile devices determined therefrom.