DocumentCode :
1309376
Title :
A Novel Modulation-Sensing Method
Author :
Popoola, Jide Julius ; Van Olst, Rex
Volume :
6
Issue :
3
fYear :
2011
Firstpage :
60
Lastpage :
69
Abstract :
This article introduces the application of automatic modulation classification (AMC) algorithm for the signal sensing and detection of the primary user (PU) in cognitive radio (CR) environments. The algorithm was developed using an artificial neural network (ANN). Computer simulations of 12 combined analog and digitally modulated signals corrupted by additive white Gaussian noise (AWGN) have been carried out.
Keywords :
AWGN; cognitive radio; modulation; neural nets; signal detection; telecommunication computing; AMC algorithm; ANN; AWGN; CR technology; PU; additive white Gaussian noise; analog signals; artificial neural network; automatic modulation classification algorithm; cognitive radio technology; computer simulations; digitally-modulated signals; modulation-sensing method; primary user signal detection; primary user signal sensing; Cognitive radio; Feature extraction; Interference; Matched filters; Radio frequency; Sensors; Uncertain systems;
fLanguage :
English
Journal_Title :
Vehicular Technology Magazine, IEEE
Publisher :
ieee
ISSN :
1556-6072
Type :
jour
DOI :
10.1109/MVT.2011.941893
Filename :
6004770
Link To Document :
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