Publication detail

Neural modeling of in-vehicle wireless channels: wave propagation along the vehicle body at 60 GHz

KOTOL, M. VÉLIM, J. RAIDA, Z.

Original Title

Neural modeling of in-vehicle wireless channels: wave propagation along the vehicle body at 60 GHz

English Title

Neural modeling of in-vehicle wireless channels: wave propagation along the vehicle body at 60 GHz

Type

conference paper

Language

en

Original Abstract

In the paper, we discuss an exploitation of artificial neural networks for modeling wireless channels inside a car. Neural models are based on feed-forward architecture and radial basis function architecture of neural networks. In the paper, we briefly explain the concept of experimental measurements of in-car channels. Then, we explain the process of creating and training a neural network. Finally, we discuss a neural model validation.

English abstract

In the paper, we discuss an exploitation of artificial neural networks for modeling wireless channels inside a car. Neural models are based on feed-forward architecture and radial basis function architecture of neural networks. In the paper, we briefly explain the concept of experimental measurements of in-car channels. Then, we explain the process of creating and training a neural network. Finally, we discuss a neural model validation.

Keywords

Articicial neural networks, feed-forward neural network, radial basic function neural network, transmission, car, transmit and recieve antenna

RIV year

2015

Released

07.09.2015

ISBN

978-1-4799-7808-3

Book

2015 IEEE-APS Topical Conference on Antennas and Propagation in Wireless Comunications (APWC)

Pages from

279

Pages to

282

Pages count

4

BibTex


@inproceedings{BUT115817,
  author="Martin {Kotol} and Jan {Vélim} and Zbyněk {Raida}",
  title="Neural modeling of in-vehicle wireless channels:
wave propagation along the vehicle body at 60 GHz",
  annote="In the paper, we discuss an exploitation of
artificial neural networks for modeling wireless channels
inside a car. Neural models are based on feed-forward
architecture and radial basis function architecture of neural
networks. In the paper, we briefly explain the concept of
experimental measurements of in-car channels. Then, we
explain the process of creating and training a neural network.
Finally, we discuss a neural model validation.",
  booktitle="2015 IEEE-APS Topical Conference on Antennas and Propagation in Wireless Comunications (APWC)",
  chapter="115817",
  howpublished="print",
  year="2015",
  month="september",
  pages="279--282",
  type="conference paper"
}