Digital modulation identification by distance and fuzzy evaluation

In order to overcome the problem of erroneous identification for using fixed threshold of the characteristic parameters of signal to identify signals, this article extracted several parameters and combined with the feature distance and fuzzy evaluation to identify the signal. It is divided into two levels, first of all, comparing the distance to identify the inter-class of signal, and then use the characteristic parameters and fuzzy evaluation to identify the type of signal. This article analyses the effectiveness of the method very closely, and verify the validity in identifying MPSK and MFSK signal through computer simulation.