ESTIMATION THE TRANSMISSION BETWEEN ANTENNAS USING ARTIFICIAL NEURAL NETWORKS IN THE UWB BAND

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F16%3APU120769" target="_blank" >RIV/00216305:26220/16:PU120769 - isvavai.cz</a>

Výsledek na webu

<a href="http://ieeexplore.ieee.org/document/7734683/" target="_blank" >http://ieeexplore.ieee.org/document/7734683/</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1109/PIERS.2016.7734683" target="_blank" >10.1109/PIERS.2016.7734683</a>

Jazyk výsledku

angličtina

Název v původním jazyce

ESTIMATION THE TRANSMISSION BETWEEN ANTENNAS USING ARTIFICIAL NEURAL NETWORKS IN THE UWB BAND

Popis výsledku v původním jazyce

The characteristics of the transmission channel inside the car are very important for future intra-car communication technologies. These technologies will create the small wireless networks for the distribution of data services such as internet, video, audio, etc. transmission. For these services, it is preferable to use the UWB frequency band from 3 GHz to 11 GHz because of the hardware support availability. An estimation of transmission channel characteristic is time-consuming and computationally demanding process. Presented paper deals with the channel transfer function estimation for different receiving antenna locations determined by the two dimensional grid. Proposed artificial neural network used for the analysis of the transmission channel is based on the feed forward and radial basis function structure. Neural networks have been optimized using measured channel transfer function to achieve better effectiveness, speed and accuracy.

Název v anglickém jazyce

ESTIMATION THE TRANSMISSION BETWEEN ANTENNAS USING ARTIFICIAL NEURAL NETWORKS IN THE UWB BAND

Popis výsledku anglicky

The characteristics of the transmission channel inside the car are very important for future intra-car communication technologies. These technologies will create the small wireless networks for the distribution of data services such as internet, video, audio, etc. transmission. For these services, it is preferable to use the UWB frequency band from 3 GHz to 11 GHz because of the hardware support availability. An estimation of transmission channel characteristic is time-consuming and computationally demanding process. Presented paper deals with the channel transfer function estimation for different receiving antenna locations determined by the two dimensional grid. Proposed artificial neural network used for the analysis of the transmission channel is based on the feed forward and radial basis function structure. Neural networks have been optimized using measured channel transfer function to achieve better effectiveness, speed and accuracy.

Druh

D - Stať ve sborníku

CEP obor

—

OECD FORD obor

20201 - Electrical and electronic engineering

Projekt

<a href="/cs/project/GA13-38735S" target="_blank" >GA13-38735S: Výzkum bezdrátových kanálů pro komunikaci a určování polohy ve vozidlech</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2016

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

2016 Progress in Electromagnetic Research Symposium (PIERS)

ISBN

978-1-5090-6093-1

ISSN

—

e-ISSN

—

Počet stran výsledku

4

Strana od-do

1465-1469

Název nakladatele

IEEE Xplore

Místo vydání

Neuveden

Místo konání akce

Shanghai

Datum konání akce

8. 8. 2016

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

000400013901081