2 papers
eess.SP2024
Neural 5G Indoor Localization with IMU Supervision
Aleksandr Ermolov, Shreya Kadambi, Maximilian Arnold +8
Radio signals are well suited for user localization because they are ubiquitous, can operate in the dark and maintain privacy. Many prior works learn mappings between channel state…
cs.NI2021
WiCluster: Passive Indoor 2D/3D Positioning using WiFi without Precise Labels
Ilia Karmanov, Farhad G. Zanjani, Simone Merlin +2
We introduce WiCluster, a new machine learning (ML) approach for passive indoor positioning using radio frequency (RF) channel state information (CSI). WiCluster can predict both a…