吉林大学学报(工学版) ›› 2014, Vol. 44 ›› Issue (4): 1165-1170.doi: 10.13229/j.cnki.jdxbgxb201404040

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Compressed sensing based multi-user collaborative detection for wideband cognitive radio networks

HE Yan, ZHAO Xiao-hui   

  1. College of Communication Engineering, Jilin University, Changchun 130012, China
  • Received:2013-02-05 Online:2014-07-01 Published:2014-07-01

Abstract: Using correlated channel estimation, compressive sampling theory, signal reconstruction based on the basis pursuit technique and the average-consensus algorithm, the proposed algorithm realizes effective and accurate signal detection. The proposed algorithm is compared with the traditional energy detection scheme in the condition of Rayleigh fading. Results show that the proposed algorithm can achieve better performance than the energy detection scheme in low SNR and less sampling rate scenario. Meanwhile, the detection performance can also be improved when the cognitive radio users increase.

Key words: communication, cognitive radio, cooperative detection, compressed sensing, multi-user

CLC Number: 

  • TN925
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