吉林大学学报(工学版) ›› 2014, Vol. 44 ›› Issue (3): 854-860.doi: 10.13229/j.cnki.jdxbgxb201403044

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Fast blind spectrum sensing using Sevcik fractal dimension in frequency domain

FU Shuang1,2,LI Yi-bing1,YE Fang1,GAO Zhen-guo3   

  1. 1.Institute of Information and Communication Engineering, Harbin Engineering University, Harbin 150001,China;
    2.Institute of Information Technology, Heilongjiang Bayi Agricultural University, Daqing 163319, China;
    3.Institute of Automation, Harbin Engineering University, Harbin 150001,China
  • Received:2012-11-26 Online:2014-03-01 Published:2014-03-01

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Abstract: A fast blind spectrum sensing method using Sevcik fractal dimension in frequency domain is proposed. First, the Sevcik fractal dimension in frequency domain of the received signal is calculated. Then according to the difference of Sevcik fractal dimension characters between signal and noise, the calculation result is compared with the predefined threshold to determine whether the primary user exists. Compared with existing spectrum sensing methods, the proposed method has some advantages, such as insensitive to noise uncertainty, not requiring priori knowledge, and high detection probability in low SNR situation. Furthermore, it consumes less calculation time. This method can be applied to fast blind spectrum sensing in the situation of low SNR and noise uncertainty. Monte Carlo simulation results show that its average detection probability of signals with 7 modulation types can reach 100% when SNR is larger than -12 dB with ±5 dB noise uncertainty.

Key words: information processing, spectrum sensing, fractal dimension, noise uncertainty

CLC Number: 

  • TN911.23
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