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OALib Journal期刊
ISSN: 2333-9721
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Feature Optimization for Digital Modulation Signals Recognition
数字调制信号识别的特征参数优化方法

Keywords: Modulation recognition,Feature parameter selection,Orthogonal design experiment,PCA,KPCA
调制识别,特征参数选择,正交实验,主分量分析,核主分量分析

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Abstract:

Aiming at the problem of feature parameter numerousness and feature redundancy in the recognition of digital modulation signals,a feature optimization method for digital modulation signals recognition was proposed in this paper.Firstly,the method optimized the feature parameters of twenty selected features by orthogonal experiment.And then it recognized nine kinds of digital modulation signals using RBF neural network.Finally,the method compared to PCA method and KPCA method.The simulation results show that...

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