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,

Fifth Generation Communication Automotive Research and innovation (5GCAR)

Europeiska kommissionen (Horisont 2020), 2017-06-01 -- 2019-05-31.

COPPLAR CampusShuttle cooperative perception & planning platform

VINNOVA, 2016-01-01 -- 2018-12-31.

High precision positioning for cooperative ITS applications

Europeiska kommissionen (Horisont 2020), 2015-01-01 -- 2017-12-31.

Styrkeområden

Informations- och kommunikationsteknik

Transport

Ämneskategorier

Telekommunikation

Signalbehandling

Datavetenskap (datalogi)

DOI

10.1109/ACSSC.2018.8645553

Mer information

Senast uppdaterat

2019-06-11