Infrastructure Re-purposed RSS Signatures for Mobile Localization
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Indoor navigation systems face challenges in maintaining accurate received signal strength (RSS) fingerprints due to dynamic changes in indoor infrastructure, such as remodeling, which renders pre-existing RSS signatures obsolete, requiring time-consuming recalibration for mobile device localization.
Innovation Solution
A method and system to generate re-purposed RSS signatures by determining a common spatial region from overlapping first and second spatial regions with associated RSS signatures, calculating a weighted RSS mean and variance to create an updated signature that adapts to changes in pedestrian usage patterns and infrastructure, allowing for accurate mobile device localization without physical recalibration.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual calibration is performed to generate and maintain fingerprint map, then navigation accuracy is improved, but time consumption and error rate increase
Solution Approach 1:
The system automatically updates RSS signatures by detecting infrastructure changes and recalibrating affected regions without requiring manual intervention. The fingerprint map maintains itself by continuously adapting to environmental changes, eliminating the need for manual calibration while preserving navigation accuracy.
Solution Approach 2:
The system incorporates feedback mechanisms where RSS measurements from mobile devices are continuously analyzed to detect changes in the indoor environment. When changes are detected, the system automatically updates the fingerprint map in affected regions, creating a closed-loop system that self-corrects without manual calibration.
2Measurement precision
If manual calibration is performed to maintain accurate fingerprint map, then measurement precision is improved, but device complexity and operational difficulty increase
Solution Approach 1:
The system performs self-maintenance by automatically detecting infrastructure changes and updating RSS signatures in affected regions. This eliminates the need for manual calibration operations, making the system easier to operate while maintaining high measurement precision through automated self-correction.
3Device complexity
If pre-existing RSS signatures are used for localization, then device complexity is reduced, but reliability decreases when infrastructure changes occur
Solution Approach 1:
The system transitions from static pre-existing RSS signatures to dynamic, continuously updated signatures that adapt to infrastructure changes. The fingerprint map becomes living and evolving, automatically adjusting to reflect current environmental conditions while maintaining localization reliability without significantly increasing device complexity.
Solution Approach 2:
The system performs preliminary detection of infrastructure changes before they affect localization accuracy. By monitoring RSS patterns and detecting changes in advance, the system proactively updates affected regions of the fingerprint map, ensuring reliability is maintained before failures occur.
Data Source
AI summary
A method and system of infrastructure re-purposed RSS signatures for mobile device indoor navigation and positioning. The method comprises determining a common spatial region in accordance with a first spatial region partially superimposed upon an at least a second spatial region, the first and at least a second spatial regions associated with a first and an at least a second wireless communication received signal strength (RSS) signatures respectively; and generating, based at least in part on the first and at least a second RSS signatures, a re-purposed RSS signature associated with the common spatial region.