Blind Multi-Sources Detection and Localization for Cognitive Radio

被引：3
|
作者：
Duval, O. [1 ]
Punchihewa, A. [2 ]
Gagnon, F. [1 ]
Despins, C. [3 ]
Bhargava, V. K. [2 ]
机构：
[1] Ecole Technol Super, Dept Genie Elect, Montreal, PQ H3C 6M8, Canada
[2] Univ British Columbia, Dept Elect & Comp Engn, Vancouver, BC V6T 1Z4, Canada
[3] INRS EMT, Montreal, PQ H3B 3A7, Canada
来源：
GLOBECOM 2008 - 2008 IEEE GLOBAL TELECOMMUNICATIONS CONFERENCE | 2008年
关键词：
D O I：
10.1109/GLOCOM.2008.ECP.568
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
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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页数：5
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