Supplementary Data and Software for "Robust NLoS Localization in 5G mmWave Networks: Data-based Methods and Performance"

Beskrivning

The file includes supplementary data for "Robust NLoS Localization in 5G mmWave Networks: Data-based Methods and Performance". If you would like to re-use the software provided please cite the following two items. R. Klus, J. Talvitie, J. Equi, G. Fodor, J. Torsner, and M. Valkama, “Robust NLoS Localization in 5G mmWave Networks: Data-based Methods and Performance,” IEEE Transactions on Vehicular Technology, 2024. R Klus et al. (2024). Supplementary materials for “Robust NLoS Localization in 5G mmWave Networks: Data-based Methods and Performance”. version v1, 25.06.2024, [Online]. Available: https://doi.org/10.5281/zenodo.12204892 If you have any questions about this package, please do not hesitate to contact Roman Klus (roman.klus@tuni.fi).
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Publiceringsår

2025

Typ av data

Upphovspersoner

Jukka Talvitie - Medarbetare

Mikko E. Valkama - Medarbetare

Roman Klus - Medarbetare

Unknown organization

Gábor Fodor - Medarbetare

Johan Torsner - Medarbetare

Julia Equi - Upphovsperson

Zenodo - Utgivare

Projekt

Övriga uppgifter

Vetenskapsområden

El-, automations- och telekommunikationsteknik, elektronik

Språk

engelska

Öppen tillgång

Öppet

Licens

Creative Commons Attribution 4.0 International (CC BY 4.0)

Nyckelord

dataset, MATLAB, positioning, python, Deep learning, 5G New Radio, Channel State Information, non-line-of-sight, vehicular systems

Ämnesord

tracking

Temporal täckning

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