认知网络中无线电信号智能感知方法研究

doi:10.3969/j.issn.0255-8297.2020.03.007

Journal of Applied Sciences ›› 2020, Vol. 38 ›› Issue (3): 410-418.doi: 10.3969/j.issn.0255-8297.2020.03.007

• Communication Engineering • Previous Articles Next Articles

Research on Intelligent Sensing of Radio Signals in Cognitive Networks

HUANG Tangsen¹, LI Xiaowu¹, CAO Qingjiao²

1. School of Electronics and Information Engineering, Hunan University of science and Engineering, Yongzhou 425199,Hunan Province, China;
2. School of Water Conservancy and Hydropower, Hebei University of Engineering, Handan 056038, Hebei Province, China

Received:2019-03-04 Online:2020-05-31 Published:2020-06-11

Abstract

Abstract: 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.

Key words: cognitive networks, intelligent sensing, grid search, weighted fusion

CLC Number:

TN929.5

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.

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Research on Intelligent Sensing of Radio Signals in Cognitive Networks

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