Comparison of Neural Models of UWB and 60GHz In-car Transmission Channels

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F16%3APU120771" target="_blank" >RIV/00216305:26220/16:PU120771 - isvavai.cz</a>
Result on the web
<a href="http://ieeexplore.ieee.org.ezproxy.lib.vutbr.cz/document/7593493/" target="_blank" >http://ieeexplore.ieee.org.ezproxy.lib.vutbr.cz/document/7593493/</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/COBCOM.2016.7593493" target="_blank" >10.1109/COBCOM.2016.7593493</a>

Result language
angličtina
Original language name
Comparison of Neural Models of UWB and 60GHz In-car Transmission Channels
Original language description
Knowledge of characteristics of the transmission channel is advantageous for the selection of a suitable location of transmitting and receiving antennas, choice of the carrier frequency and the transmission parameters such as bit rate, modulation type, coding, etc. However, the description of properties of the transmission channel can be computationally time consuming, and the computational complexity increases with the increasing frequency. The transmission channel can be modeled by an artificial neural network to reduce the computational complexity compared to the analysis using full-wave simulation programs (CST, HFSS, etc.). Two neural network architectures were selected (a feed-forward one and a radial basis function one) to model an in-car transmission channel. For each neural model, a study of the model error, the speed of training and the network complexity is given.
Czech name
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Czech description
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Project
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year
2016
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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