Publication detail

NEURAL MODEL OF TRANSMISSION CHANNEL IN 60 GHZ ISM BAND

Martin Kotol, Zbyněk Raida

Original Title

NEURAL MODEL OF TRANSMISSION CHANNEL IN 60 GHZ ISM BAND

English Title

NEURAL MODEL OF TRANSMISSION CHANNEL IN 60 GHZ ISM BAND

Type

conference paper

Language

en

Original Abstract

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.

English abstract

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.

Keywords

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

Released

28.04.2016

ISBN

978-80-214-5350-0

Book

Student EEICT

Pages from

328

Pages to

332

Pages count

5

BibTex


@inproceedings{BUT125220,
  author="Martin {Kotol} and Zbyněk {Raida}",
  title="NEURAL MODEL OF TRANSMISSION CHANNEL
IN 60 GHZ ISM BAND
",
  annote="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.",
  booktitle="Student EEICT",
  chapter="125220",
  howpublished="online",
  year="2016",
  month="april",
  pages="328--332",
  type="conference paper"
}