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.
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.
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)
