Modulation Recognition of Digital Signals Based on Parameters Histogram Distribution

An artificial neural networks(ANNs) approach for modulation type recognition for digital modulation signals based on the parameters histogram distribution is presented in this paper.ANNs are used to recognize digital modulation signals based on the parameters histogram distribution of the instantaneous envelope, instantaneous phase and instantaneous frequency, which is suitable for digital modulation types including ASK2, ASK4, PSK2, PSK4, FSK2, FSK4. The simulation results show that our approach is able to extract the key feature of the signals, and is featured by high success recognition rate,simple logic framework,easy to real-time realization.