A cooperative spectrum sensing method based on information geometry and fuzzy c-means clustering algorithm
文献类型：期刊论文
| 作者 | Zhang, Shunchao1; Wang, Yonghua1,2; Li, Jiangfan1; Wan, Pin1,3; Zhang, Yongwei1; Li, Nan1 |
| 刊名 | EURASIP JOURNAL ON WIRELESS COMMUNICATIONS AND NETWORKING
 |
| 出版日期 | 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 |
| WOS记录号 | WOS:000456566800001 |
| 出版者 | SPRINGEROPEN |
| 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 |
| 源URL | [http://ir.ia.ac.cn/handle/173211/25307]  |
| 专题 | 自动化研究所_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 |
| 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. |
入库方式： OAI收割
来源：自动化研究所
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