辅助式小波神经网络的调制识别技术

Recognition of modulation using assistant wavelet neural network

将小波特征提取和反向传播神经网络理论相结合,设计一种辅助式小波神经网络结构.根据接收到的调制信号进行抽样后,将所提出的辅助式小波神经网络用于几种调制信号的识别.实验结果表明,辅助式小波神经网络的鲁棒性能好,对调制识别技术的正确识别率高.

By intergrating wavelet features extraction with back propogation neural network, a new auxilary wavelet neural network is proposed. Based on the sampling of the received signal, the wavelet neural network is applied to recogniton of different practical modulated signals. Experiment results indicate that the wavelet neural network has good robustness and higher correct recognition rate.