Orientation and Location Tracking of XR Devices: 5G Carrier Phase-Based Methods

Accurate knowledge of the three-dimensional (3D) orientations and 3D locations user devices, such as wearable glasses, is paramount importance in different extended reality (XR) use cases applications. In this article, we address corresponding six degrees-of-freedom (6DoF) tracking challenge 5G-empowered XR devices. We describe a new uplink (UL) carrier phase measurements based estimation approach, allowing for low-latency orientation location directly at 5G network base-stations or gNodeBs (gNBs). Extended Kalman filter (EKF) practical signal processing algorithms are described while also applicable Cramér-Rao lower-bounds (CRLBs) derived presented. Also, related aspect over-the-air headset antenna constellation geometry addressed. Additionally, important challenges to equipment (UE) clock drifting well integer ambiguities methods both considered. Finally, an extensive set numerical results provided example indoor factory like environment, covering 3.5 GHz 28 deployments. The obtained demonstrate feasibility continuous 6DoF through proposed with root mean squared error (RMSE) accuracies below one degree centimeter location, respectively. that UE can be efficiently estimated tracked, part overall concept methods.