Fast adaptive threshold for cooperative spectrum sensing

被引：0

作者：

Xia W.-F. ^{[1
]}

Wang S. ^{[1
]}

Gong S.-M. ^{[1
]}

Liu W. ^{[1
]}

机构：

[1] Department of Electronics and Information Engineering, Huazhong University of Science and Technology

来源：

Dianzi Yu Xinxi Xuebao/Journal of Electronics and Information Technology | 2010年 / 32卷 / 06期

关键词：

Adaptive threshold; Cognitive radio; Cooperative spectrum sensing; Steepest Descent Algorithm (SDA);

D O I：

10.3724/SP.J.1146.2009.00891

中图分类号：

学科分类号：

摘要：

Spectrum sensing is a key functional part for cognitive radio networks. In heterogeneous networks, the mobility of cognitive nodes will lead to changes in the received signal strength and noise power, which make it difficult for cognitive users to achieve optimal sensing performance at all times using traditional spectrum sensing methods with fixed thresholds. To solve this problem, an adaptive threshold scheme is proposed in this paper. The Steepest Descent Algorithm (SDA) is used to adjust thresholds of all cooperative nodes and the optimal data fusion rule is adopted in the control center to decrease the average Bayesian risk. No prior information of primary signals, channel fading and noise power is needed and the optimal sensing performance is achieved by applying the proposed scheme. Simulation results confirm that the proposed method can quickly converge to optimal sensing parameters in spatial temporal varying environment.

引用

页码：1406 / 1411

页数：5

共 12 条

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