Modulation Recognition Based on BP Neural Network

In the real wireless communication applications, there are always existing multiple signal modulation schemes. To complete the demodulation of modulated signals, it is necessary to understand the signal modulation method, so it is important for the signal receiver to have the ability to automatically identify the signal modulation schemes. In this paper, for six common digital modulation schemes, each modulation scheme modulates one hundred signals respectively, then extracts five feature parameters from each signal, and finally classifies them using back propagation (BP) neural network. The experimental results illustrate that the recognition accuracy can reach more than 90% when SNR > 10 dB. The model structure is simple and practical, and it can meet the requirements of automatic recognition of modulation schemes.