基于神经网络的井下频谱合作感知

Underground Cooperative Spectrum Sensing Based on Neural Network

针对煤矿安全生产中无线通信的瓶颈问题,指出认知无线电中的单节点频谱感知不能适应井下的多径衰落和噪声等问题,提出把多节点合作感知应用到煤矿井下;煤矿井下的环境参数多变,结合具有适应能力强的神经网络,讨论基于神经网络的合作频谱感知模型设计思路,通过MATLAB仿真验证,检测性能优于AND,OR准则。

Aimed at problems in mine wireless communication, this paper pointed out that single - node spectrum sensing of cognitive radio could not suit problems such as multipath fading and noise in underground, and applying multi nodes＇cooperative spectrum sensing to the coal mine underground was proposed. With complex parameters in the mine, in this paper, combined neural network with strong adaptation, the design idea of cooperative spectrum sensing model based on neural network was discussed. Through MATLAB simulation, it was proved that its detection performance was better than AND, OR criteria.