A geometry-aware model that matches observed WiFi delay-angle spectra against spectra predicted from a 3D room map reduces mean 3D localization error by about 49% on both synthetic and real indoor datasets.
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GLocFM: A Geometry-Aware Foundation Model for 3D Indoor Wireless Localization
A geometry-aware model that matches observed WiFi delay-angle spectra against spectra predicted from a 3D room map reduces mean 3D localization error by about 49% on both synthetic and real indoor datasets.