5G mmWave Vehicular Tracking

Hyowon Kim, Henk Wymeersch, Nil Garcia, Gonzalo Seco-Granados, Sunwoo Kim

Research output: Chapter in Book/Report/Conference proceedingConference contribution

5 Scopus citations

Abstract

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.

Original languageEnglish
Title of host publicationConference Record of the 52nd Asilomar Conference on Signals, Systems and Computers, ACSSC 2018
EditorsMichael B. Matthews
PublisherIEEE Computer Society
Pages541-547
Number of pages7
ISBN (Electronic)9781538692189
DOIs
StatePublished - 2019 Feb 19
Event52nd Asilomar Conference on Signals, Systems and Computers, ACSSC 2018 - Pacific Grove, United States
Duration: 2018 Oct 282018 Oct 31

Publication series

NameConference Record - Asilomar Conference on Signals, Systems and Computers
Volume2018-October
ISSN (Print)1058-6393

Conference

Conference52nd Asilomar Conference on Signals, Systems and Computers, ACSSC 2018
CountryUnited States
CityPacific Grove
Period18/10/2818/10/31

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  • Cite this

    Kim, H., Wymeersch, H., Garcia, N., Seco-Granados, G., & Kim, S. (2019). 5G mmWave Vehicular Tracking. In M. B. Matthews (Ed.), Conference Record of the 52nd Asilomar Conference on Signals, Systems and Computers, ACSSC 2018 (pp. 541-547). [8645553] (Conference Record - Asilomar Conference on Signals, Systems and Computers; Vol. 2018-October). IEEE Computer Society. https://doi.org/10.1109/ACSSC.2018.8645553