Journal of Guangdong University of Technology ›› 2017, Vol. 34 ›› Issue (01): 60-64.doi: 10.12052/gdutxb.160012

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Research on Location of Small-Scale Mobile Primary Users in Cognitive Radio Networks

Wu Yong1, Wan Pin1, Wang Yong-hua1,2,3, Liang Ting2, Lu Qiang2   

  1. 1. School of Automation, Guangdong University of Technology, Guangzhou 510006, China;
    2. China Electronics Technology Group Corporation No. 7 Research Institute, Guangzhou 510310, China;
    3. Hubei Key Laboratory of Intelligent Wireless Communications, South-Central University for Nationalities, Wuhan 430074, China
  • Received:2016-01-26 Online:2017-01-09 Published:2017-01-09

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Abstract:

In cognitive radio networks, it is very difficult to track the location of small-scale mobile primary users because of their mobile characteristic、the unpredictability of its spatial and temporal spectrum usage patterns and its weak transmission power. Based on these observations, a novel algorithm with self-adjustment mechanism is proposed based on weighted centroid localization and particle filter to track small-scale mobile primary users. The advantage of this method is that not only accurately and reliably track the location of small-scale mobile primary users, but also to preserve localization accuracy depend on adjustment mechanism in the case of localization error exceeds the threshold. Simulation results show that localization error of the proposed algorithm less than 10 m in the range of 100 m×100 m.

Key words: small-scale mobile primary users, particle filter, cognitive radio networks, location

CLC Number: 

  • TN925

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