Wireless Transmitter Location Detection via Centralized Mapping
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Solution Overview
Problem
Existing technologies face challenges in determining the location of wireless transmitters, particularly for devices lacking GPS or similar hardware, due to the complexity of associating wireless transmitter identifiers with geographic locations, and the need for efficient data collection and analysis to provide location-based services across a wide area.
Innovation Solution
A centralized system that utilizes data collected from mobile devices to create a transmitter mapping, where location data packages are logged and analyzed to construct a database correlating wireless transmitter identifiers with locations, enabling location assistance for devices without native location services.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a centralized system collects and analyzes location data from multiple mobile devices to determine transmitter locations, then the precision of transmitter location determination is improved, but the complexity of data collection and analysis increases
Solution Approach 1:
The system segments the data collection process by having each mobile device independently report its location and associated transmitter identifiers to a centralized database. This divides the complex task of location determination into manageable units (individual device reports) that can be processed separately and aggregated, reducing overall system complexity while maintaining precision through multiple data points.
Solution Approach 2:
Mobile devices autonomously collect their own location data using onboard GPS and other sensors, and automatically report this data along with observed transmitter identifiers to the centralized system. This self-service approach eliminates the need for manual data collection and reduces the processing burden on the centralized system, as devices perform preliminary data gathering and formatting.
2Area of stationary object
If location data is collected from a plurality of mobile devices to map transmitter identifiers to locations, then the coverage area for location-based services is expanded, but the quantity of data to be processed increases
Solution Approach 1:
The system performs preliminary data aggregation and validation at the point of collection, where mobile devices report only relevant location and transmitter identifier data that meets predefined criteria. The centralized system then pre-processes this incoming data stream by filtering duplicates and validating formats before storing in the database, reducing the quantity of data requiring full analysis while maintaining comprehensive geographic coverage.
Solution Approach 2:
The system merges location data from multiple mobile devices with observed transmitter identifiers into a unified database structure. By combining these separate data streams and associating them through the transmitter identifier key, the system creates a consolidated mapping that expands coverage area without proportionally increasing processing complexity, as the same data structure serves multiple transmitters simultaneously.
3Adaptability or versatility
If a transmitter mapping database is constructed from collected location data, then location assistance can be provided to devices without GPS hardware, but the time required to build and update the database increases
Solution Approach 1:
The transmitter mapping database is constructed and updated continuously as mobile devices report location data in real-time or near-real-time. Rather than performing batch processing periodically, the system maintains an ongoing data collection and update process, allowing the database to be progressively built and refined. This continuous action reduces the perceived construction time and keeps the database current without requiring lengthy processing intervals.
Solution Approach 2:
The system incorporates feedback mechanisms where the centralized database uses collected location data to refine transmitter location estimates and update the mapping. This feedback loop allows the system to learn from accumulated data, improving accuracy over time while automating the update process. The feedback-driven refinement reduces manual intervention and accelerates database construction compared to static mapping approaches.
Data Source
AI summary
Techniques for wireless transmitter location detection are described. An apparatus may comprise a processor circuit and a location database generator component. The location database generator component may comprise: a logging component operative on the processor circuit to receive a plurality of location data packages, the location data packages comprising locations and associated wireless transmitter identifiers, and to log the location data packages into a location database, the location database comprising a plurality of tuples of the locations and the wireless transmitter identifiers; and an analysis component operative on the processor circuit to construct a transmitter mapping from wireless transmitter identifiers to locations based on the plurality of tuples of the location database. Other embodiments are described and claimed.