吉林大学学报(工学版) ›› 2016, Vol. 46 ›› Issue (2): 678-684.doi: 10.13229/j.cnki.jdxbgxb201602051

• Orginal Article • Previous Articles    

Normalized spectrum based cooperative spectrum sensing algorithm for high dynamic noise background

QI Pei-han1, LI Zan1, SI Jiang-bo1, GAO Rui1, SUN Hao2   

  1. 1.State Key Lab of Integrated Services Networks, Xidian University, Xi'an 710071, China;
    2.State Radio Monitoring Center,Beijing 100037,China
  • Received:2014-01-02 Online:2016-02-20 Published:2016-02-20

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Abstract: As high dynamic ranges of background noise level in time, spatial and frequency domain seriously affect the performance of cooperative spectrum sensing algorithms, a novel cooperative spectrum sensing algorithm based on Normalized Spectrum (NS) is proposed. The local NS is uploaded to the fusion center, and the equal gain average of NS is treated as detection statistics to detect signals in the fusion center. It makes use of asymptotic normality and independence of Fourier transform to get the stochastic properties of Power Spectral Density (PSD). The mathematical expression for probabilities of false alarm is derived. In accordance with the Neyman-Pearson criteria, the closed-form expression of decision threshold is calculated. The simulation results show that the NS algorithm is robust to dynamic ranges of background noise level. With respect to Majority Voting Hard Decision (MVHD) cooperative spectrum sensing algorithm and Equal Gain Soft Decision (EGSD) cooperative spectrum sensing algorithm based on energy, the NS algorithm has better performance and broader applications.

Key words: communication technology, cooperative spectrum sensing, power spectral density, background noise level, flat slow fading

CLC Number: 

  • TN911.23
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