Research On Communication Modulation Signal Recognition Technology Based On Signal Fractal Feature

In modern communication systems,in order to monitor the transmitted signals,we must compute the characteristics of modulation signals before demodulate them,if the receivers do not know any information about the modulation mode.In both military and civilian occasion,modulation pattern identification has great significance.Different signal modulation methods have different signal parameters.Modulation is the most significant feature between different signals.Automatic Signal modulation identification is the basic and the most important part in the field of non-cooperative communication.Before discussing the problem of modulation identification,a variety of modulation models are introduced first,where the traditional classical modulation technology is used to find some important parameters,such as,the signal envelope characteristic,the statistical variance and the maximum value of the power spectral density etc.Then,based on the signal fractal features,which are used in this paper for modulation identification,the performance of the two different methods are simulated and analyzed.In the past,we have obtained great achievements in the field of modulation identification.But in the field of non-cooperative communication,the identification technology of communication modulation signals is far from being able to form the mature stage of independent discipline theory.This paper bases on the traditional identification method of communication signal modulation identification.It takes signal feature parameter as a method,and researches the modulation identification based on Fractal Features of communication signals.Then we compare the advantages and disadvantages of the new and old method,and make some prospects for the future development in this field.