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20212023
most citedExperimental Validation of Single BS 5G mmWave Positioning and Mapping for Intelligent Transport

1 citations · 1 across the 8 of their papers we have counts for

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6 papers · 1 filter

eess.SP2023

Integrated Monostatic and Bistatic mmWave Sensing

Yu Ge, Hyowon Kim, Lennart Svensson +2

Millimeter-wave (mmWave) signals provide attractive opportunities for sensing due to their inherent geometrical connections to physical propagation channels. Two common modalities…

eess.SP2023★ 1 cited

Experimental Validation of Single BS 5G mmWave Positioning and Mapping for Intelligent Transport

Yu Ge, Hedieh Khosravi, Fan Jiang +10

Positioning with 5G signals generally requires connection to several base stations (BSs), which makes positioning more demanding in terms of infrastructure than communications. To…

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

Doppler Exploitation in Bistatic mmWave Radio SLAM

Yu Ge, Ossi Kaltiokallio, Hui Chen +5

Networks in 5G and beyond utilize millimeter wave (mmWave) radio signals, large bandwidths, and large antenna arrays, which bring opportunities in jointly localizing the user equip…

eess.SP2021

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…

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…