NDLI: Research on cooperative spectrum sensing algorithm based on data fusion

Content Provider	IEEE Xplore Digital Library
Author	Xinmiao Lu Qiong Wu Lei Wu
Copyright Year	2013
Description	Author affiliation: Higher Educ. Key Lab. for Meas. & Control Technol. & Instrumentations, Harbin Univ. of Sci. & Technol., Harbin, China (Xinmiao Lu; Qiong Wu; Lei Wu)
Abstract	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.
Sponsorship	IEEE Harbin Sect.
Starting Page	252
Ending Page	256
File Size	1222506
Page Count	5
File Format	PDF
e-ISBN	9781479913923
DOI	10.1109/MIC.2013.6757959
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-08-16
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Spectrum sensing Collaboration Probability Data fusion Cognitive radio Detection algorithms Artificial intelligence Signal to noise ratio
Content Type	Text
Resource Type	Article

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