双向工频通信信号的特征提取与模糊分类方法

FEATURE EXTRACTION AND FUZZY CLASSIFICATION METHOD FOR TWO WAY AUTOMATIC COMMUNICATION SYSTEMS

文章介绍了双向工频自动通信系统的调制原理。针对目前该系统时域解调方法的不理想，提出了一种样条小波变换与自适应模糊神经网络相结合的信号检测方法，实验结果表明该方法是有效的。

This paper presents the signal and modulation method of Two Way Automatic Communication System(TWACS) based on power distribution networks. At present in TWACS there are shortcomings in time domain demodulation, thus a signal detecting method is put forward in which the spline wavelet transform and the adaptive fuzzy neural network are combined. Test result shows this method is effective.