8 papers
Joint RIS Calibration and Multi-User Positioning
Yi Lu, Hui Chen, Jukka Talvitie +2
Reconfigurable intelligent surfaces (RISs) are expected to be a key component enabling the mobile network evolution towards a flexible and intelligent 6G wireless platform. In most…
MmWave Mapping and SLAM for 5G and Beyond
Yu Ge, Ossi Kaltiokallio, Hyowon Kim +5
Device localization and radar-like mapping are at the heart of integrated sensing and communication, enabling not only new services and applications, but can also improve communica…
A Computationally Efficient EK-PMBM Filter for Bistatic mmWave Radio SLAM
Yu Ge, Ossi Kaltiokallio, Hyowon Kim +6
Millimeter wave (mmWave) signals are useful for simultaneous localization and mapping (SLAM), due to their inherent geometric connection to the propagation environment and the prop…
mmWave Simultaneous Localization and Mapping Using a Computationally Efficient EK-PHD Filter
Ossi Kaltiokallio, Yu Ge, Jukka Talvitie +2
Future cellular networks that utilize millimeter wave signals provide new opportunities in positioning and situational awareness. Large bandwidths combined with large antenna array…
HybridDeepRx: Deep Learning Receiver for High-EVM Signals
Jaakko Pihlajasalo, Dani Korpi, Mikko Honkala +6
In this paper, we propose a machine learning (ML) based physical layer receiver solution for demodulating OFDM signals that are subject to a high level of nonlinear distortion. Spe…
Joint Positioning and Tracking via NR Sidelink in 5G-Empowered Industrial IoT: Releasing the Potential of V2X Technology
Yi Lu, Mike Koivisto, Jukka Talvitie +4
The fifth generation (5G) mobile networks with enhanced connectivity and positioning capabilities play an increasingly important role in the development of automated vehicle-to-eve…