activity
20192022
most cited5G mmWave Downlink Vehicular Positioning

3 citations · 5 across the 8 of their papers we have counts for

collaborators

9 papers

eess.SP2022

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…

eess.SP2022

Bayesian Integrity Monitoring for Cellular Positioning -- A Simplified Case Study

Liqin Ding, Gonzalo Seco-Granados, Hyowon Kim +4

Bayesian receiver autonomous integrity monitoring (RAIM) algorithms are developed for the snapshot cellular positioning problem in a simplified one-dimensional (1D) linear Gaussian…

eess.SP2022

Doppler-Enabled Single-Antenna Localization and Mapping Without Synchronization

Hui Chen, Fan Jiang, Yu Ge +2

Radio localization is a key enabler for joint communication and sensing in the fifth/sixth generation (5G/6G) communication systems. With the help of multipath components (MPCs), l…

eess.SP2022

PMBM-based SLAM Filters in 5G mmWave Vehicular Networks

Hyowon Kim, Karl Granström, Lennart Svensson +2

Radio-based vehicular simultaneous localization and mapping (SLAM) aims to localize vehicles while mapping the landmarks in the environment. We propose a sequence of three Poisson…

eess.SP2021

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…

eess.SP2021

Cooperative mmWave PHD-SLAM with Moving Scatterers

Hyowon Kim, Jaebok Lee, Yu Ge +3

Using the multiple-model (MM) probability hypothesis density (PHD) filter, millimeter wave (mmWave) radio simultaneous localization and mapping (SLAM) in vehicular scenarios is sus…