基于人工神经网络的通信信号分类识别

Classification and Identification of Communication Signal Using Artificial Neural Networks

通信信号的分类识别是一种典型的统计模式识别问题。系统地论述了通信信号特征选择、特征提取和分类识别的原理和方法。设计了人工神经网络分类器,包括神经网络模型的选择、分类器的输入输出表示、神经网络拓扑结构和训练算法,并提出了分层结构的神经网络分类器。

The classification and identification of communication signal is a typical statistical pattern identification. The paper discusses the theory and method of feature selection, feature extraction and classification ＆ identificaiton of communication signal. A classifier based on artificial neural networks is designed, including the selection of neural network model, the input and output expression of the classifier, neural network topology and training algorithm. Finally a hierarchical architecture classifier based on artificial neural networks is presented.