Cognitive radio is a technology that can be used to effectively alleviate the current strain of spectrum resources, and spectrum sensing is the prerequisite of cognitive radio. To overcome the poor performance under the condition of low SNR, a cooperative spectrum sensing algorithm combining the high-order cumulants of signal and the eigenvalue of covariance matrix with the neural network is proposed. The algorithm takes into account the channel fading between the cognitive users and primary users and utilizes the strong multi-classification ability of neural networks. The ratio of maximum-minimum eigenvalues, the ratio of average-minimum eigenvalues, and high-order cumulants are used as the inputs of neural networks to realize the spectrum sensing. The simulation results show that the proposed algorithm not only has higher spectrum detection rate than other algorithms at low SNR, but also identifies the modulation type of the signal.
XUE Jianwei
,
TANG Liang
,
BU Zhiyong
. Cooperative spectrum sensing based on neural network in cognitive radio[J]. Journal of University of Chinese Academy of Sciences, 2020
, 37(3)
: 379
-386
.
DOI: 10.7523/j.issn.2095-6134.2020.03.011
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