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An iterative multiple primary users localization algorithm based on clustering

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3 Author(s)
Xing Zhiqiang ; College of Information Engineering, North China University of Technology, Beijing, China ; Li Wei ; Han Qiang

Multiple co-channel primary users (PU) existing simultaneously is very common in cognitive radio environments. With the knowledge of the location information of PUs, the cognitive radio can use spectrum-access opportunities more effectively and provides more value-added services. A novel multiple PUs localization algorithm was proposed, which seeks non-cooperative PUs' position by executing k-mean clustering and iterative operations. Simulation results show that the proposed method achieves better performance than traditional expectation-maximization(EM) algorithm.

Published in:

Communications and Networking in China (CHINACOM), 2011 6th International ICST Conference on

Date of Conference:

17-19 Aug. 2011