Triple-Threshold Cooperative Spectrum Sensing Algorithm Based on Energy Detection

被引：0
|
作者：
Chen, Chutian [1 ]
Chen, Yuebin [1 ]
Qian, Jiwu [1 ]
Xu, Juan [1 ]
机构：
[1] Yunnan Univ Nationalities, Sch Elect & Informat Technol, Kunming, Yunnan, Peoples R China
来源：
2018 5TH INTERNATIONAL CONFERENCE ON SYSTEMS AND INFORMATICS (ICSAI) | 2018年
关键词：
cognitive radio; energy detection; cooperative spectrum sensing; triple-threshold; multiple-fusion criteria;
D O I：
暂无
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：
Spectrum sensing is one of the key technologies of cognitive radio. Energy detection is widely used in spectrum sensing, but noise uncertainty and low signal-to-noise ratio seriously affects its detection performance. A system model based on noise uncertainty is established, and a cooperative spectrum sensing algorithm based on three-threshold is proposed. In the fusion center, the multiple-fusion criteria are used to classify the decision information uploaded by each node. The results of theoretical analysis and Monte-Carlo simulation show that this algorithm can effectively improve the spectrum sensing performance of the cognitive wireless network compared with the cooperative spectrum sensing algorithm based on double-threshold.
引用
收藏
页码：791 / 795
页数：5
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