Original title: Neural Model of Transmission Channel in 60 Ghz ISM Band
Authors: Kotol, Martin
Document type: Papers
Language: eng
Publisher: Vysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologií
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; in-car wireless transmission; parameter estimation; radial basis function network
Host item entry: Proceedings of the 22nd Conference STUDENT EEICT 2016, ISBN 978-80-214-5350-0

Institution: Brno University of Technology (web)
Document availability information: Fulltext is available in the Brno University of Technology Digital Library.
Original record: http://hdl.handle.net/11012/83950

Permalink: http://www.nusl.cz/ntk/nusl-383668


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Conference materials > Papers