Publication | Closed Access
You are facing the Mona Lisa
503
Citations
24
References
2012
Year
Unknown Venue
EngineeringLocation EstimationLocalization TechniqueLocalization AccuraciesIndoor Positioning SystemLocalizationVisual ArtsArt TheoryArt CriticismLocation AwarenessAesthetic SurgeryCore StructureComputer EngineeringComputer ScienceMobile ComputingVisual CultureRf LocalizationMona LisaExperimental AestheticMedicinePrecise Indoor Localization
The core structure of WiFi channel responses from OFDM subcarriers remains amenable to localization despite temporal and environmental variations. The study investigates whether precise indoor localization can be achieved using WiFi physical layer information, and introduces the PinLoc system. PinLoc, built on Intel 5300 cards, was evaluated in multiple indoor venues, achieving spot‑level localization within 1 m × 1 m grids. PinLoc achieves 89 % mean accuracy with under 6 % false positives across 100 spots, outperforming leading schemes such as Horus.
This paper explores the viability of precise indoor localization using physical layer information in WiFi systems. We find evidence that channel responses from multiple OFDM subcarriers can be a promising location signature. While these signatures certainly vary over time and environmental mobility, we notice that their core structure preserves certain properties that are amenable to localization. We attempt to harness these opportunities through a functional system called PinLoc, implemented on off-the-shelf Intel 5300 cards. We evaluate the system in a busy engineering building, a crowded student center, a cafeteria, and at the Duke University museum, and demonstrate localization accuracies in the granularity of 1m x 1m boxes, called "spots". Results from 100 spots show that PinLoc is able to localize users to the correct spot with 89% mean accuracy, while incurring less than 6% false positives. We believe this is an important step forward, compared to the best indoor localization schemes of today, such as Horus.
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