吉林大学学报(工学版) ›› 2014, Vol. 44 ›› Issue (5): 1506-1511.doi: 10.7964/jdxbgxb201405044

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Exponential entropy-based spectrum sensing algorithm in cognitive radio

LI Yi-bing,CHANG Guo-bin,YE Fang   

  1. College of Information and Communication Engineering, Harbin Engineering University, Harbin 150001
  • Received:2013-04-03 Online:2014-09-01 Published:2014-09-01

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Abstract: Current spectrum sensing methods in cognitive radio possess several shortcomings, such as poor detection performance in low Signal-to-Noise Ratio (SNR) simulation and poor robustness to the uncertainty of noise power, etc. To overcome these shortcomings, an exponential entropy-based spectrum sensing algorithm is proposed. According to the difference of exponential entropy between the situation of H0 and H1, the value of the exponential entropy of the received signal is estimated, and then compared with the threshold to judge whether the primary user's signal exists or not. The algorithm has the advantages of robustness to uncertainty of noise power, no requirement of prior information of the primary user's signal, and high detection probability in low SNR, etc. Monte Carlo simulation results show that under the situation of noise power uncertainty of 3 dB, sampling number of 1024, the detection probability can reach 100% when SNR is higher than -8 dB.

Key words: communication technology, spectrum sensing, exponential entropy, robustness

CLC Number: 

  • TN92
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