13 citations · 21 across the 24 of their papers we have counts for
6 papers · 1 filter
Iterated Posterior Linearization PMB Filter for 5G SLAM
Yu Ge, Yibo Wu, Fan Jiang +5
5G millimeter wave (mmWave) signals have inherent geometric connections to the propagation channel and the propagation environment. Thus, they can be used to jointly localize the r…
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…
Millimeter-wave Mobile Sensing and Environment Mapping: Models, Algorithms and Validation
Carlos Baquero Barneto, Elizaveta Rastorgueva-Foi, Musa Furkan Keskin +5
Integrating efficient connectivity, positioning and sensing functionalities into 5G New Radio (NR) and beyond mobile cellular systems is one timely research paradigm, especially at…
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…