Model-based Implicit Neural Representation for sub-wavelength Radio Localization

ArXi:2506.06387v3 Announce Type: replace-cross The increasing deployment of large antenna arrays at base stations has significantly improved the spatial resolution and localization accuracy of radio-localization methods. However, traditional signal processing techniques struggle in complex radio environments, particularly in scenarios dominated by non line of sight (NLoS) propagation paths, resulting in degraded localization accuracy.