Blind Multi-Sources Detection and Localization for Cognitive Radio
Blind Multi-Sources Detection and Localization for Cognitive Radio
复制标题
认知无线电的盲多源检测和定位
DOI：
10.1109/glocom.2008.ecp.568
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发表时间：
2008
期刊：
影响因子：
--
通讯作者：
V. Bhargava
中科院分区：
文献类型：
--
作者：
Olivier Duval;A. Punchihewa;F. Gagnon;C. Despins;V. Bhargava
在本文中，我们介绍了一种频谱空洞检测方法，该方法结合了盲调制分类、到达角估计和源数量检测。我们进行特征空间分析以确定源的数量，并估计它们的到达角度。此外，我们将检测到的源分类为主要或次要用户，具有独特的二阶/一共轭循环平稳特征。进行的广泛模拟表明，即使在 -4 dB SNR 下，所提出的系统也能正确识别和定位各个源。
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.