Indoor Positioning System Fusing Wi-Fi and UWB for Sub-Meter Accuracy
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Solution Overview
Problem
Current Wi-Fi-based localization systems suffer from poor accuracy, often exceeding 1 meter, leading to potential false position indications of tags in indoor environments.
Innovation Solution
The proposed solution combines Wi-Fi and UWB measurements to enhance localization accuracy. It uses Wi-Fi for an initial coarse location estimate, which is then refined using UWB measurements, achieving sub-meter accuracy without the need for high UWB anchor density.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If Wi-Fi-based localization is used, then coverage area is large and infrastructure requirement is low, but localization accuracy deteriorates (exceeds 1 meter)
Solution Approach 1:
The patent combines Wi-Fi and UWB localization systems into a unified positioning framework. The processor obtains candidate locations from both Wi-Fi and UWB measurements, then fuses these results to achieve sub-meter accuracy. This merging allows the system to leverage the coverage advantage of Wi-Fi while achieving the precision of UWB, resolving the contradiction between measurement precision and system complexity.
2Measurement precision
If UWB measurements are used alone, then localization accuracy improves (sub-meter), but infrastructure requirement increases (high UWB anchor density needed)
Solution Approach 1:
The patent applies partial action by using UWB measurements selectively rather than requiring dense UWB anchor coverage everywhere. The processor obtains multiple candidate locations from UWB and selects the best match based on proximity to Wi-Fi results. This approach achieves sub-meter accuracy without requiring high UWB anchor density across the entire coverage area, resolving the contradiction between measurement precision and quantity of infrastructure.
3Measurement precision
If multiple radio technologies are combined, then localization accuracy improves, but processing complexity increases
Solution Approach 1:
The patent applies preliminary action by first obtaining candidate locations from Wi-Fi measurements, then using these as reference points to select from multiple UWB candidate locations. The processor selects the UWB candidate location with the greatest proximity to the Wi-Fi result. This preliminary filtering approach simplifies the fusion process compared to full probabilistic methods, achieving sub-meter accuracy while managing processing complexity.
Data Source
AI summary
A system and method for an indoor position localization of a target device is provided. A network comprising a server and a plurality of anchors is configured to fuse two radio technologies to estimate a location of the target device within an indoor facility. The method includes obtaining, via a first radio technology, a first candidate location of a target device. The method also includes obtaining, via a second radio technology, a plurality of second candidate locations of the target device. The method further includes selecting one of the second candidate locations as an estimated position of the target device based on a proximity of each of the second candidate locations to the first candidate location.