Radio Model Quality Assessment for Indoor Positioning
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Solution Overview
Problem
Existing satellite-based positioning technologies are ineffective indoors due to poor signal penetration through walls and roofs, necessitating alternative solutions for accurate navigation.
Innovation Solution
A method for obtaining and evaluating fingerprints of radio signals from communication nodes to estimate and assess the quality of radio models, providing feedback to users on the sufficiency of collected data for indoor positioning, allowing for efficient data collection and improved positioning accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If satellite-based positioning technologies are used outdoors, then positioning accuracy is improved, but signal penetration through walls and roofs deteriorates
Solution Approach 1:
The positioning system is segmented into two distinct parts: outdoor satellite-based positioning (GNSS) and indoor radio signal-based positioning (WLAN). Each segment uses the most appropriate technology for its environment, with smooth transition capabilities between them. This segmentation allows the system to maintain high positioning accuracy both outdoors and indoors without compromising signal penetration.
2Measurement precision
If fingerprints are collected continuously from mobile devices, then positioning data quality is improved, but data collection efficiency deteriorates due to lack of quality assessment
Solution Approach 1:
A feedback mechanism is implemented where the server continuously assesses the quality of collected fingerprints using radio model quality metrics. Based on this feedback, the system can determine when sufficient data has been collected for a particular location, eliminating the need for continuous indiscriminate data collection. This feedback loop maintains high positioning data quality while significantly improving data collection efficiency.
Solution Approach 2:
The system performs preliminary quality assessment of radio models before they are fully deployed for positioning. By evaluating fingerprint quality in advance and determining when adequate coverage is achieved, the system avoids unnecessary continued data collection. This preliminary action ensures data quality requirements are met while optimizing collection efficiency.
3Measurement precision
If radio model quality assessment is implemented, then positioning accuracy is improved, but system complexity increases
Solution Approach 1:
The system performs self-assessment of radio model quality through automated evaluation of collected fingerprints. The server independently determines whether sufficient data has been collected by assessing radio model quality metrics, without requiring external intervention or complex manual validation processes. This self-service approach improves positioning accuracy while keeping system complexity manageable.
Data Source
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AI summary
An apparatus obtains fingerprints that have been collected by at least one mobile device for supporting a positioning of other mobile devices. Each fingerprint comprising results of measurements on radio signals of at least one communication node at a particular location and an indication of the particular location. The apparatus estimates values of parameters defining a radio model for the at least one communication node based on the obtained fingerprints. The apparatus determines a quality of the radio model. The apparatus generates data for a feedback for a user of the at least one mobile device based on the determined quality of the radio model.