Millimeter-wave Mobile Sensing and Environment Mapping: Models, Algorithms and Validation
Journal article, 2022

Integrating efficient connectivity, positioning and sensing functionalities into 5G New Radio (NR) and beyond mobile cellular systems is one timely research paradigm, especially at mm-wave and sub-THz bands. In this article, we address the radio-based sensing and environment mapping prospect with specific emphasis on the user equipment (UE) side. We first describe an efficient $\ell_1$-regularized least-squares (LS) approach to obtain sparse range--angle charts at individual measurement or sensing locations. For the subsequent environment mapping, we then introduce a novel state model for mapping diffuse and specular scattering, which allows efficient tracking of individual scatterers over time using interacting multiple model (IMM) extended Kalman filter and smoother. Also the related measurement selection and data association problems are addressed. We provide extensive numerical indoor mapping results at the 28~GHz band deploying OFDM-based 5G NR uplink waveform with 400~MHz channel bandwidth, covering both accurate ray-tracing based as well as actual RF measurement results. The results illustrate the superiority of the dynamic tracking-based solutions, compared to static reference methods, while overall demonstrate the excellent prospects of radio-based mobile environment sensing and mapping in future mm-wave networks.

OFDM

Radar tracking

sub-THz

Radio frequency

Antenna arrays

Antenna measurements

indoor mapping

Sensors

joint communications and sensing

mobile radar

OFDM radar

RF convergence

mm-waves

5G New Radio (NR)

Simultaneous localization and mapping

6G

Author

Carlos Baquero Barneto

University of Tampere

Elizaveta Rastorgueva-Foi

University of Tampere

Furkan Keskin

Chalmers, Electrical Engineering, Communication, Antennas and Optical Networks

Taneli Riihonen

University of Tampere

Matias Turunen

University of Tampere

Jukka Talvitie

University of Tampere

Henk Wymeersch

Chalmers, Electrical Engineering, Communication, Antennas and Optical Networks

M. Valkama

University of Tampere

IEEE Transactions on Vehicular Technology

0018-9545 (ISSN) 1939-9359 (eISSN)

Vol. 71 4 3900-3916

A flagship for B5G/6G vision and intelligent fabric of technology enablers connecting human, physical, and digital worlds (Hexa-X )

European Commission (EC) (EC/HE/101120332), 2023-10-01 -- 2027-09-30.

European Commission (EC) (EC/2020/101015956), 2021-01-01 -- 2023-06-30.

Subject Categories

Telecommunications

Communication Systems

Signal Processing

DOI

10.1109/TVT.2022.3146003

Related datasets

Dataset for Millimeter-wave Mobile Sensing and Environment Mapping: Models, Algorithms and Validation [dataset]

DOI: 10.5281/zenodo.4475160

More information

Latest update

9/21/2023