Federated Base Station Localization via World Model Constraints
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Solution Overview
Problem
GPS-based navigation systems face challenges in providing accurate location data in environments with poor satellite signal conditions, such as urban areas, due to multipath propagation, signal weakening by structures, and dynamic variables like power changes, leading to location inaccuracy and noise.
Innovation Solution
A federated system using base stations with a world model database that constrains and enhances GPS data by correlating environment data, including signal strength and geographic information, to determine device location without relying on GPS signals, utilizing proximity-based base stations to minimize multipath errors and noise.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If GPS-based navigation systems are used in urban areas, then location data can be obtained, but multipath propagation and signal weakening by structures cause location inaccuracy and noise
Solution Approach 1:
The patent introduces base stations as intermediary components that receive GPS signals and process them through a federated system. These base stations act as mediators between the GPS satellites and the mobile device, correcting signal errors caused by multipath propagation and urban structures before providing location data to the device.
Solution Approach 2:
The system implements feedback mechanisms where base stations continuously monitor GPS signal quality and environmental conditions, then adjust their correction algorithms accordingly. The federated system shares information between base stations to improve overall system accuracy and adapt to changing urban environments.
2Reliability
If GPS signals are used in areas with poor satellite signal conditions, then location data can be obtained, but signal weakening leads to location inaccuracy
Solution Approach 1:
The patent combines multiple signal sources and processing methods into a unified federated system. Base stations aggregate GPS signals from multiple satellites and combine them with environmental data and correction algorithms, creating a more reliable location determination system that overcomes individual signal weaknesses.
Solution Approach 2:
The system uses composite information processing by combining raw GPS signal data with environmental models, base station corrections, and federated system information. This composite approach creates more robust location data that is less susceptible to signal weakening by urban structures.
3Productivity
If GPS data is used without constraints, then location data can be obtained quickly, but dynamic variables like power changes cause noise and errors
Solution Approach 1:
The system performs preliminary actions by having base stations pre-process GPS signals and maintain environmental models before location requests are made. Correction data and environmental information are prepared in advance, allowing rapid location determination without sacrificing accuracy when devices request position information.
Data Source
AI summary
A method, computer program, and computer system of a base station is provided for determining a location of a mobile device by receiving data from a mobile device associated with a location of the mobile device and generating a world model database corresponding to a physical location of the base station. The received data is constrained based on the generated world model database, and an updated location of the mobile device is determined based on the constrained data.