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Detail publikace
ZÖCHMANN, E. VUTHA, V. RUPP, M. HEATH, R.
Originální název
Geometric Tracking of Vehicular mmWave Channels to Enable Machine Learning of Onboard Sensors
Typ
článek ve sborníku ve WoS nebo Scopus
Jazyk
angličtina
Originální abstrakt
Estimating time-selective millimeter wave wireless channels with directive antennas poses a challenging task. A feasible way of relaxing this channel estimation problem is to focus on the tracking of a few multipath components (MPCs). Aligning antenna beams to the tracked MPCs increases the channel coherence time by several orders of magnitude. We propose to track the MPCs geometrically. Our geometric trackers are based on algorithms known as Doppler-bearing tracking. We reformulate recent work on geometric-polar tracking into an efficient recursive version. If the relative position of the MPCs are known, other sensors on board of a vehicle, for example, lidar, radar, camera, will be capable of performing supervised learning based on their own observed data. Learning the relationship between sensor data and MPCs allows onboard sensors to participate in the channel tracking. Joint tracking from many onboard sensors possibly increases the reliability of the MPC tracking.
Klíčová slova
MILLIMETER; COMMUNICATION; PROPAGATION; ESTIMATOR
Autoři
ZÖCHMANN, E.; VUTHA, V.; RUPP, M.; HEATH, R.
Vydáno
9. 12. 2018
Nakladatel
Institute of Electrical and Electronics Engineers Inc.
ISBN
978-1-5386-4920-6
Kniha
Proceedings of IEEE Global Telecommunications Conference (GC Wkshps)
Strany od
1
Strany do
6
Strany počet
URL
https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8644440
BibTex
@inproceedings{BUT163617, author="Erich {Zöchmann} and Va {Vutha} and Markus {Rupp} and Robert {Heath}", title="Geometric Tracking of Vehicular mmWave Channels to Enable Machine Learning of Onboard Sensors", booktitle="Proceedings of IEEE Global Telecommunications Conference (GC Wkshps)", year="2018", pages="1--6", publisher="Institute of Electrical and Electronics Engineers Inc.", doi="10.1109/GLOCOMW.2018.8644440", isbn="978-1-5386-4920-6", url="https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8644440" }