A cooperative spectrum sensing method based on information geometry and fuzzy c-means clustering algorithm

doi:10.1186/s13638-019-1338-z

	A cooperative spectrum sensing method based on information geometry and fuzzy c-means clustering algorithm
	Zhang, Shunchao 1; Wang, Yonghua 1,2; Li, Jiangfan 1; Wan, Pin 1,3; Zhang, Yongwei 1; Li, Nan 1
刊名	EURASIP JOURNAL ON WIRELESS COMMUNICATIONS AND NETWORKING
	2019-01-23
页码	12
关键词	Cooperative spectrum sensing Information geometry Decomposition and recombination Fuzzy c-means clustering algorithm
ISSN号	1687-1472
DOI	10.1186/s13638-019-1338-z
通讯作者	Wang, Yonghua(sjzwyh@163.com)
英文摘要	To improve spectrum sensing performance, a cooperative spectrum sensing method based on information geometry and fuzzy c-means clustering algorithm is proposed in this paper. In the process of signal feature extraction, a feature extraction method combining decomposition, recombination, and information geometry is proposed. First, to improve the spectrum sensing performance when the number of cooperative secondary users is small, the signals collected by the secondary users are split and reorganized, thereby logically increasing the number of cooperative secondary users. Then, in order to visually analyze the signal detection problem, the information geometry theory is used to map the split and recombine signals onto the manifold, thereby transforming the signal detection problem into a geometric problem. Further, use geometric tools to extract the corresponding statistical characteristics of the signal. Finally, according to the extracted features, the appropriate classifier is trained by the fuzzy c-means clustering algorithm and used for spectrum sensing, thus avoiding complex threshold derivation. In the simulation results and performance analysis section, the experimental results were further analyzed, and the results show that the proposed method can effectively improve the spectrum sensing performance.
资助项目	State Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Chinese Academy of Sciences[20180106] ; graduate education reform project of Guangdong Province[2016JGXM_MS_26] ; foundation of key laboratory of machine intelligence and advanced computing of the Ministry of Education[MSC-201706A] ; higher education quality project of Guangdong Province ; higher education quality project of Guangdong University of Technology ; [400170044]
WOS研究方向	Engineering ; Telecommunications
语种	英语
出版者	SPRINGEROPEN
WOS记录号	WOS:000456566800001
资助机构	State Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Chinese Academy of Sciences ; graduate education reform project of Guangdong Province ; foundation of key laboratory of machine intelligence and advanced computing of the Ministry of Education ; higher education quality project of Guangdong Province ; higher education quality project of Guangdong University of Technology
内容类型	期刊论文
源URL	[http://ir.ia.ac.cn/handle/173211/25307]
专题	中国科学院自动化研究所
通讯作者	Wang, Yonghua
作者单位	1.Guangdong Univ Technol, Sch Automat, Guangzhou 510006, Guangdong, Peoples R China 2.Chinese Acad Sci, Inst Automat, State Key Lab Management & Control Complex Syst, Beijing 100190, Peoples R China 3.South Cent Univ Nationalities, Hubei Key Lab Intelligent Wireless Commun, Wuhan 430074, Hubei, Peoples R China
推荐引用方式 GB/T 7714	Zhang, Shunchao,Wang, Yonghua,Li, Jiangfan,et al. A cooperative spectrum sensing method based on information geometry and fuzzy c-means clustering algorithm[J]. EURASIP JOURNAL ON WIRELESS COMMUNICATIONS AND NETWORKING,2019:12.
APA	Zhang, Shunchao,Wang, Yonghua,Li, Jiangfan,Wan, Pin,Zhang, Yongwei,&Li, Nan.(2019).A cooperative spectrum sensing method based on information geometry and fuzzy c-means clustering algorithm.EURASIP JOURNAL ON WIRELESS COMMUNICATIONS AND NETWORKING,12.
MLA	Zhang, Shunchao,et al."A cooperative spectrum sensing method based on information geometry and fuzzy c-means clustering algorithm".EURASIP JOURNAL ON WIRELESS COMMUNICATIONS AND NETWORKING (2019):12.