Paper Title :Cyclostationarity Based Signal Detection In Cognitive Radio Networks
Author :Alin Ann Thomas, Sudha T
Article Citation :Alin Ann Thomas ,Sudha T ,
(2014 ) " Cyclostationarity Based Signal Detection In Cognitive Radio Networks " ,
International Journal of Advance Computational Engineering and Networking (IJACEN) ,
pp. 59-63,
Volume-2,Issue-6
Abstract : Abstract- The inefficient usage of the existing frequency spectrum and the ever increasing need for spectrum for
communication has demanded means of opportunistic access to the licensed bands without interfering with the licensed
primary users. Cognitive radio nodes have the capability of dynamic spectrum access and can provide a solution for the
increasing spectral demand. Several spectrum sensing techniques can be employed to identify the presence of the primary
signal. This paper focuses on the technique of utilizing the cyclostationary properties present in the primary user signal. The
Spectral Correlation Function (SCF) of the signal received from the spectrum is used to make a decision regarding the
presence of the signal. The signal detection can be reduced to a simple identification problem where the cognitive radio node
just needs to identify the SCF pattern to identify the presence of the corresponding signal. Study is done to detect a QPSK
modulated primary user signal and the results show that the signal presence can be detected even under very low SNR
conditions.
Type : Research paper
Published : Volume-2,Issue-6
Copyright: © Institute of Research and Journals
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Published on 2014-06-04 |
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