Multi–Dimensional Wireless Signal Identification Based on Support Vector Machines

Multi–Dimensional Wireless Signal Identification Based on Support Vector Machines

Radio air interface identification provides necessary information for dynamically and efficiently exploiting the wireless radio frequency spectrum. In this study, a general machine learning framework is proposed for Global System for Mobile communications (GSM), Wideband Code Division Multiple Acces...

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Bibliographic Details
Main Authors: Kursat Tekbiyik, Ozkan Akbunar, Ali Riza Ekti, Ali Gorcin, Gunes Karabulut Kurt
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Cyclostationarity
FFT
machine learning
power spectral density
spectral correlation function
spectrum sensing
Online Access:https://ieeexplore.ieee.org/document/8844719/

Internet

https://ieeexplore.ieee.org/document/8844719/

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