Rf Transmitter Classification Based On Front-End Impairments
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Date
2021
Authors
Youssefová, Kristina
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Mark
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Vysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologií
Abstract
This paper focuses on classifying Radio Frequency transmitters depending on their Radiofrequencyimperfections using a machine learning algorithm. The theoretical part of the papercan be divided into two branches. In the first branch, possible imperfections in the radio frequencytransmitters are presented. In the second one, the support vector machine algorithm is explained.The practical part deals with the implementation of support vector machines in the MATLAB programand the evaluation of results.
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Citation
Proceedings I of the 27st Conference STUDENT EEICT 2021: General papers. s. 179-182. ISBN 978-80-214-5942-7
https://conf.feec.vutbr.cz/eeict/index/pages/view/ke_stazeni
https://conf.feec.vutbr.cz/eeict/index/pages/view/ke_stazeni
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Peer-reviewed
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cs
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© Vysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologií