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Blind localization of multiple primary users without number knowledge

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【作者】 邢志强； 宁士勇； 李炜； 宋鹏；

【Author】 XING Zhi-qiang1, NING Shi-yong2, LI Wei1, SONG Peng1 (1. College of Information Engineering, North China University of Technology,Beijing 100041, China; 2. School of Computer and Information Engineering, Harbin University of Commerce, Harbin 150001,China)

【机构】 College of Information Engineering,North China University of Technology； School of Computer and Information Engineering,Harbin University of Commerce；

【摘要】 A novel multiple PUs (Primary Users) localization algorithm was proposed, which estimates the number of PUs by SVD (Singular Value Decomposition) method and seeks non-cooperative PUs’ position by executing k-mean clustering and iterative operations. The simulation results show that the proposed method can determined the number of PUs blindly and achieves better performance than traditional expectation-maximization (EM) algorithm.

【Abstract】 A novel multiple PUs (Primary Users) localization algorithm was proposed, which estimates the number of PUs by SVD (Singular Value Decomposition) method and seeks non-cooperative PUs’ position by executing k-mean clustering and iterative operations. The simulation results show that the proposed method can determined the number of PUs blindly and achieves better performance than traditional expectation-maximization (EM) algorithm.

【关键词】 multiple primary user； localization； SVD； iterative； k-mean clustering；
【Key words】 multiple primary user； localization； SVD； iterative； k-mean clustering；
【基金】 Sponsored by the Scientific Research Program of Beijing Municipal Commission of Education ( Grant No. KZ2010100009009);Funding Project for Academic Human Resources Development in Institutions of Higher Learning Under the Jurisdiction of Beijing Municipality ( Grant No. PHR201008186); Scientific Research Fund of Heilongjiang Provincial Education Department ( Grant No. 11541083)
  • 【文献出处】 Journal of Harbin Institute of Technology ,哈尔滨工业大学学报(英文版) , 编辑部邮箱 ,2012年05期
  • 【分类号】TN925
  • 【被引频次】1
  • 【下载频次】29
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