Geometric Tracking of Vehicular mmWave Channels to Enable Machine Learning of Onboard Sensors
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F18%3APU136228" target="_blank" >RIV/00216305:26220/18:PU136228 - isvavai.cz</a>
Result on the web
<a href="https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8644440" target="_blank" >https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8644440</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/GLOCOMW.2018.8644440" target="_blank" >10.1109/GLOCOMW.2018.8644440</a>
Alternative languages
Result language
angličtina
Original language name
Geometric Tracking of Vehicular mmWave Channels to Enable Machine Learning of Onboard Sensors
Original language description
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.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
20202 - Communication engineering and systems
Result continuities
Project
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2018
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Proceedings of IEEE Global Telecommunications Conference (GC Wkshps)
ISBN
978-1-5386-4920-6
ISSN
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e-ISSN
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Number of pages
6
Pages from-to
1-6
Publisher name
Institute of Electrical and Electronics Engineers Inc.
Place of publication
neuveden
Event location
Abu Dhabi
Event date
Dec 9, 2018
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000462817000252