通信信号调制识别方法研究

A Method of Modulation Identification for Communication Signals Based on Wavelet Analysis and Neural Network

通信信号调制识别的主要目的是进行信号监测及处理。该项技术常用于频率管理、通信对抗等领域。用小波分析和神经网络理论针对非稳定、大信噪比 ( SNR)变化的通信信号进行了有效的特征提取和分类 ,实现了通信信号调制样式的分类识别 ,使识别正确率得到了明显改善。

The primary purpose of modulation identification for communication signals is signal inspecting and processing The technique is often used in the fields of frequency management and communication countermeasures etc For communication signals, which are unstable and varied in wide range of signal noise ratio(SNR), feature extraction and classification are processed effectively and modulation identification is realized by wavelet analysis and neural network theory Accuracy of identification is obviously improved The result of computer simulation has proved its good performance