Detail publikace

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

Originální název

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

Anglický název

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

Jazyk

en

Originální abstrakt

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.

Anglický abstrakt

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.

Dokumenty

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"
}