Research on Cooperative Spectrum Sensing Algorithm Based on Data Fusion

被引：0
|
作者：
Lu, Xinmiao [1 ]
Wu, Qiong [1 ,2 ]
Wu, Lei [1 ]
机构：
[1] Harbin Univ Sci & Technology, Higher Educ Key Lab Measuring & Control Technol &, Sch Measurement & Control Technol & Commun Engn, Harbin, Peoples R China
[2] Heilongjiang Prov Elect & Informat Prod Supervis, Harbin, Peoples R China
来源：
PROCEEDINGS OF 2013 2ND INTERNATIONAL CONFERENCE ON MEASUREMENT, INFORMATION AND CONTROL (ICMIC 2013), VOLS 1 & 2 | 2013年
关键词：
cognitive radio; spectrum sensing; collaboration; data fusion; NETWORKS;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
In view of the actual wireless communication environment, there exists the difference between different location of the cognitive radio spectrum sensing node. This paper studies excellent detection performance of each node spectrum sensing of cognitive level in different conditions of received signal to noise ratio. The data fusion criteria which cognitive user adopt under different SNR could take directly affects the overall cooperative spectrum sensing detection performance, and there have cognitive fusion nodes with lower SNR to be in confluence, on the contrary it will reduce the overall detection performance. Therefore the hybrid data fusion based cooperative spectrum sensing algorithm is proposed, the method based on different SNR classifies cognitive nodes. The different criteria for data fusion is taken according to each type of the characteristics. It can be proved to improve the detection performance of the whole system effectively through MATLAB simulation in different channel environments.
引用
收藏
页码：252 / 256
页数：5
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