DocumentCode :
3726975
Title :
Detection and clasiffication of OFDM/QAM and OFDM/OQAM signals based on cyclostationary features
Author :
Selena Vukoti?;Desimir Vu?i?
Author_Institution :
Ra?unarski fakultet, Knez Mihailova, 11000 Beograd, Srbija
fYear :
2015
Firstpage :
232
Lastpage :
235
Abstract :
This paper describes a joint detection and classification of OFDM/QAM and OFDM/OQAM signals using their cyclic frequency domain profiles of spectral correlation. Detection is threshold-based, and corresponding HMMs of these signals have been used for their classification. Some performances of the considered signal detection and classification, obtained using software simulation models, are shown, as well.
Keywords :
"Hidden Markov models","Signal to noise ratio","Dynamic spectrum access","OFDM","Frequency division multiplexing","Cognitive radio","Sensors"
Publisher :
ieee
Conference_Titel :
Telecommunications Forum Telfor (TELFOR), 2015 23rd
Type :
conf
DOI :
10.1109/TELFOR.2015.7377455
Filename :
7377455
Link To Document :
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