基于小波分析的已调信号制式的神经网络自动识别

Application of neural network recognition to basic modulation styles by wavelet analysis

自动调制识别是非合作通信系统接收机设计中的重要研究课题,讨论了基于小波分析的基本调制制式(DSB、FM、PM、2ASK、2FSK、2PSK)的神经网络识别问题,对高斯白噪声中的通信信号的自动识别进行了计算机仿真.实验结果表明,此种识别算法具有较为理想的识别效果.

Automatic modulation recognition is an essential part in receiver design of non-cooperative communication system.A research is made in neural network recognition based on basic modulation styles (DSB,FM,PM,2ASK,2FSK,2PSK) in wavelet analysis and a computer simulation is given on communication signals in Gaussian white noise. The experiment results demonstrate that this recognition algorithm can get a better recognition result.