Neural Model of Transmission Channel in 60 Ghz ISM Band
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Date
2016
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Mark
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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.
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Citation
Proceedings of the 22nd Conference STUDENT EEICT 2016. s. 328-332. ISBN 978-80-214-5350-0
http://www.feec.vutbr.cz/EEICT/
http://www.feec.vutbr.cz/EEICT/
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Peer-reviewed
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en
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© Vysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologií