DocumentCode
2233453
Title
Cooperative spectrum sensing based on the compressed sensing
Author
Ma, Yongkui ; Liu, Jiaxin ; Gao, Yulong
Author_Institution
Communication Research Center, Harbin Institute of Technology, China
fYear
2015
fDate
6-8 July 2015
Firstpage
110
Lastpage
114
Abstract
In this paper, compressed sensing is applied to cooperative spectrum sensing to reduce the number of fused data. As the modification of OR fusion, DOR fusion is proposed as merger method to deal with information from different cognitive users. And then we analyze the relationship of detection performance and the number of users. Finally, some simulations are implemented, Simulation result and theoretical analysis illustrated that DOR fusion method improves not only probability of detection but also reduce the probability of false alarm significantly compared to the commonly used OR fusion.
Keywords
Compressed sensing; Corporate acquisitions; Iron; Sensors; Signal to noise ratio; compressed sensing; cooperative spectrum sensing; energy detection; optimal number of collaborative users;
fLanguage
English
Publisher
ieee
Conference_Titel
Cognitive Informatics & Cognitive Computing (ICCI*CC), 2015 IEEE 14th International Conference on
Conference_Location
Beijing, China
Print_ISBN
978-1-4673-7289-3
Type
conf
DOI
10.1109/ICCI-CC.2015.7259373
Filename
7259373
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