5G mmWave Vehicular Tracking
Paper i proceeding, 2019
Vehicle positioning based on GPS is limited due to multipath and blockage. 5G mmWave signals can provide an attractive complement, as it is possible to estimate the state of a vehicle (position and heading) from transmissions from a single base station. We propose a Bayesian 5G mmWave tracking filter, which explicitly relies on mapping the radio environment. The filter thus solves a novel type of simultaneous localization and mapping problem, which enables estimating not only the vehicle heading and position, but also its clock bias.
Författare
Hyowon Kim
Hanyang University
Henk Wymeersch
Chalmers, Elektroteknik, Kommunikations- och antennsystem, Kommunikationssystem
Nil Garcia
Chalmers, Elektroteknik, Kommunikations- och antennsystem, Kommunikationssystem
Gonzalo Seco-Granados
Universitat Autonoma de Barcelona (UAB)
Sunwoo Kim
Hanyang University
Conference Record - Asilomar Conference on Signals, Systems and Computers
10586393 (ISSN)
541-547 8645553
52nd Asilomar Conference on Signals, Systems, and Computers
Pacific Grove, USA,
Pacific Grove, USA,
Fifth Generation Communication Automotive Research and innovation (5GCAR)
Europeiska kommissionen (Horisont 2020), 2017-06-01 -- 2019-05-31.
High precision positioning for cooperative ITS applications
Europeiska kommissionen (Horisont 2020), 2015-01-01 -- 2017-12-31.
COPPLAR CampusShuttle cooperative perception & planning platform
VINNOVA, 2016-01-01 -- 2018-12-31.
Styrkeområden
Informations- och kommunikationsteknik
Transport
Ämneskategorier
Telekommunikation
Signalbehandling
Datavetenskap (datalogi)
DOI
10.1109/ACSSC.2018.8645553