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

fYear

2008

Firstpage

1

Lastpage

5

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Global Telecommunications Conference, 2008. IEEE GLOBECOM 2008. IEEE

Conference_Location

New Orleans, LO

ISSN

1930-529X

Print_ISBN

978-1-4244-2324-8

Type

conf

DOI

10.1109/GLOCOM.2008.ECP.568

Filename

4698343