Original title: Rf Transmitter Classification Based On Front-End Impairments
Authors: Youssefová, Kristina
Document type: Papers
Language: cze
Publisher: 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.
Keywords: CFO; classification; I/Q imbalance; machine learning; Matlab; ROC; SVM
Host item entry: Proceedings I of the 27st Conference STUDENT EEICT 2021: General papers, ISBN 978-80-214-5942-7

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/11012/200738

Permalink: http://www.nusl.cz/ntk/nusl-447783


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