Blind localization of multiple primary users without number knowledge
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
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:
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Blind localization of multiple primary users without number knowledge
本站小编 哈尔滨工业大学/2019-10-23
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