In the case of noise fluctuation, the performance of the radio signal detection needs to be improved. In this paper, a method for cognitive users to automatically adjust the detection threshold according to the changes of the radio environment is proposed. The fusion center applies coordinate search algorithm to provide the optimal control parameters to cognitive users. Cognitive users set the detection threshold according to the optimal parameters and autonomously learn the optimal threshold for a specific radio environment. In addition, by taking a full consideration of the distinctions and sensing contributions of cognitive users, a new weight calculation method to reflect the distinctions is designed. Simulation results show that the spectrum sensing method has excellent robustness to noise fluctuation. It performs a much higher detection probability than the traditional sensing methods as signal-to-noise ratio (SNR) is below -15 dB.
HUANG Tangsen, LI Xiaowu, CAO Qingjiao
. Research on Intelligent Sensing of Radio Signals in Cognitive Networks[J]. Journal of Applied Sciences, 2020
, 38(3)
: 410
-418
.
DOI: 10.3969/j.issn.0255-8297.2020.03.007
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