Neural Model of Transmission Channel in 60 Ghz ISM Band

Simple item page
but.event.date28.04.2016cs
but.event.titleStudent EEICT 2016cs
dc.contributor.authorKotol, Martin
dc.date.accessioned2018-07-10T12:48:16Z
dc.date.available2018-07-10T12:48:16Z
dc.date.issued2016cs
dc.description.abstractIn this paper, methodology of estimating parameters of a wireless transmission channel inside a car is presented. The work is focused on the utilization of artificial neural networks for channel modelling in the frequency range from 55 GHz to 65 GHz. Promising results have been reached by a feed-forward neural network and a radial basis function neural network. In order to train the networks, a wireless transmission was carefully measured in a testing car. Measured data were properly processed to be used both for training neural networks and validating neural models.en
dc.formattextcs
dc.format.extent328-332cs
dc.format.mimetypeapplication/pdfen
dc.identifier.citationProceedings of the 22nd Conference STUDENT EEICT 2016. s. 328-332. ISBN 978-80-214-5350-0cs
dc.identifier.isbn978-80-214-5350-0
dc.identifier.urihttp://hdl.handle.net/11012/83950
dc.language.isoencs
dc.publisherVysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologiícs
dc.relation.ispartofProceedings of the 22nd Conference STUDENT EEICT 2016en
dc.relation.urihttp://www.feec.vutbr.cz/EEICT/cs
dc.rights© Vysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologiícs
dc.rights.accessopenAccessen
dc.subjectArtificial neural networken
dc.subjectfeed-forward networken
dc.subjectradial basis function networken
dc.subjectparameter estimationen
dc.subjectin-car wireless transmissionen
dc.titleNeural Model of Transmission Channel in 60 Ghz ISM Banden
dc.type.driverconferenceObjecten
dc.type.statusPeer-revieweden
dc.type.versionpublishedVersionen
eprints.affiliatedInstitution.departmentFakulta elektrotechniky a komunikačních technologiícs
Files
Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
328-kotol.pdf
Size:
3.09 MB
Format:
Adobe Portable Document Format
Description:
Download
Collections
Student EEICT 2016