Blind Multi-Sources Detection and Localization for Cognitive Radio

TitleBlind Multi-Sources Detection and Localization for Cognitive Radio
Publication TypeConference Paper
Year of Publication2008
AuthorsDuval, O., A. Punchihewa, F. Gagnon, C. Despins, and V. K. Bhargava
Conference NameGlobal Telecommunications Conference, 2008. IEEE GLOBECOM 2008. IEEE
Pagination1 -5
Date Publishednov.
Keywordsangle of arrival estimation, blind modulation classification, blind multisources detection, blind multisources localization, blind source separation, cognitive radio, direction-of-arrival estimation, eigenspace analysis, eigenvalues and eigenfunctions, signal classification, spectrum holes detection

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.


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