Title :
Comparison of spectrum sensing methods for cognitive radio under low SNR
Author :
Garello, Roberto ; Jia, Yifan
Author_Institution :
Dipt. di Elettron., Politec. di Torino, Turino, Italy
Abstract :
In this paper we compare several popular and top performing spectrum sensing algorithms for cognitive radio under low signal to noise ratio scenario, namely the Energy Detection, the Cyclostationary Detection, and the Eigenvalue based Detection. Especially, when auxiliary sensing slots are available, we incorporate modified hybrid algorithms that can exploit the auxiliary information into comparison. Simulation results based on QPSK primary signal are given, in the form of ROC curves, SNR gains and auxiliary gains for pre-defined false alarm probability and detection probability. These results can be useful for proper design of spectrum sensing algorithms under low SNR.
Keywords :
cognitive radio; eigenvalues and eigenfunctions; probability; quadrature phase shift keying; signal detection; signal reconstruction; QPSK primary signal; ROC curves; SNR gain; auxiliary gain; cognitive radio; cyclostationary detection; detection probability; eigenvalue based detection; energy detection; modified hybrid algorithm; pre-defined false alarm probability; sensing slots; signal to noise ratio; spectrum sensing algorithm; spectrum sensing method; Eigenvalues and eigenfunctions; Noise level; Probability; Sensors; Signal to noise ratio; Simulation; cognitive radio; signal detection; spectrum sensing;
Conference_Titel :
Antennas and Propagation in Wireless Communications (APWC), 2011 IEEE-APS Topical Conference on
Conference_Location :
Torino
Print_ISBN :
978-1-4577-0046-0
DOI :
10.1109/APWC.2011.6046809
