Title :
Blind Multi-Sources Detection and Localization for Cognitive Radio
Author :
Duval, O. ; Punchihewa, A. ; Gagnon, F. ; Despins, C. ; Bhargava, V.K.
Author_Institution :
Dept. de Genie Electr., Ecole de Technol. Super., Montreal, QC
Abstract :
In this paper, we introduce a spectrum holes detection approach, which combines blind modulation classification, angle of arrival estimation and number of sources detection. We perform eigenspace analysis to determine the number of sources, and estimate their angles of arrival. In addition, we classify detected sources as primary or secondary users with their distinct second-order/one-conjugate cyclostationarity features. Extensive simulations carried out indicate that the proposed system identifies and locates individual sources correctly, even at -4 dB SNR.
Keywords :
blind source separation; cognitive radio; direction-of-arrival estimation; eigenvalues and eigenfunctions; signal classification; angle of arrival estimation; blind modulation classification; blind multisources detection; blind multisources localization; cognitive radio; eigenspace analysis; spectrum holes detection; AWGN; Additive white noise; Classification algorithms; Cognitive radio; Multiple signal classification; OFDM modulation; Performance analysis; Receivers; Timing; Wireless communication;
Conference_Titel :
Global Telecommunications Conference, 2008. IEEE GLOBECOM 2008. IEEE
Conference_Location :
New Orleans, LO
Print_ISBN :
978-1-4244-2324-8
DOI :
10.1109/GLOCOM.2008.ECP.568
