Research on Digital Modulation recognition based on BP neural Network

Digital modulation is the most popular signal modulation method in the field of communication at present. Artificial neural network has a broad application prospect in the field of signal recognition because of its powerful ability of automatic recognition, automatic analysis and even information perception. In this paper, a classifier based on BP algorithm is designed by extracting the characteristic parameters of each modulation mode, which is composed of four BP neural networks. Finally, the classifier is trained by the characteristic parameters, and the classifier is verified by random signals, so as to explore the recognition with higher automation and faster speed.