Detail publikace

NEURAL MODEL OF TRANSMISSION CHANNEL IN 60 GHZ ISM BAND

Martin Kotol, Zbyněk Raida

Originální název

NEURAL MODEL OF TRANSMISSION CHANNEL IN 60 GHZ ISM BAND

Typ

článek ve sborníku mimo WoS a Scopus

Jazyk

angličtina

Originální abstrakt

In 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.

Klíčová slova

Artificial neural network, feed-forward network, radial basis function network, parameter estimation, in-car wireless transmission.

Autoři

Martin Kotol, Zbyněk Raida

Vydáno

28. 4. 2016

ISBN

978-80-214-5350-0

Kniha

Student EEICT

Strany od

328

Strany do

332

Strany počet

5

BibTex

@inproceedings{BUT125220,
  author="Martin {Kotol} and Zbyněk {Raida}",
  title="NEURAL MODEL OF TRANSMISSION CHANNEL
IN 60 GHZ ISM BAND
",
  booktitle="Student EEICT",
  year="2016",
  pages="328--332",
  isbn="978-80-214-5350-0"
}