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
发表期刊	EURASIP JOURNAL ON WIRELESS COMMUNICATIONS AND NETWORKING
ISSN	1687-1472
	2019-01-23
页码	12
通讯作者	Wang, Yonghua(sjzwyh@163.com)
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.
关键词	Cooperative spectrum sensing Information geometry Decomposition and recombination Fuzzy c-means clustering algorithm
DOI	10.1186/s13638-019-1338-z
收录类别	SCI
语种	英语
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] ; 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]
项目资助者	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
WOS研究方向	Engineering ; Telecommunications
WOS类目	Engineering, Electrical & Electronic ; Telecommunications
WOS记录号	WOS:000456566800001
出版者	SPRINGEROPEN
引用统计	被引频次：20[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://ir.ia.ac.cn/handle/173211/25308
专题	复杂系统管理与控制国家重点实验室
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
通讯作者单位	中国科学院自动化研究所
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.