Author Name | Affiliation | XING Zhi-qiang | College of Information Engineering, North China University of Technology,Beijing 100041, China | NING Shi-yong | School of Computer and Information Engineering, Harbin University of Commerce, Harbin 150001,China | LI Wei | College of Information Engineering, North China University of Technology,Beijing 100041, China | SONG Peng | College of Information Engineering, North China University of Technology,Beijing 100041, China |
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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. |
Key words: multiple primary user localization SVD iterative k-mean clustering |
DOI:10.11916/j.issn.1005-9113.2012.05.018 |
Clc Number:TN929.5 |
Fund: |