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Neural Algorithm for Radio Signals Modulation Classification of Satellite Communication Systems at Low Signal-to-Noise Ratio

机译:低信噪比的卫星通信系统无线电信号调制分类的神经算法

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摘要

Different classification algorithms were considered in the absence of a priori information on the type of modulation, on the basis of which dictionary of feature is proposed. Simulation model was constructed. Experiment was performed to evaluate the parameters of characteristics. Correct probability dependences of modulation classification type on signal-to-noise ratio were obtained.
机译:在没有关于调制类型的先验信息的情况下,考虑了不同的分类算法,在此基础上提出了特征字典。建立了仿真模型。进行实验以评估特征参数。获得了正确的调制分类类型对信噪比的概率依赖性。

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