Application of Deep Learning in Signal Modulation Recognition System for Wireless Communication

The development of Industrial Internet has promoted broad connections between people, machines, objects and systems, among others,and build a new manufacturing and service system covering the entire industrial chain and the entire value chain, providing a way to realize the digitization, networking and intelligent development of industry and even industry.Communication system in the high reliability and ultra-high capacity requirements at the same time, but also more and more complex, modulation methods are diverse, how to quickly and efficiently identify the signal type in order to make a deeper degree of processing becomes very meaningful, this paper introduces the relevant content of deep learning, mainly using convolutional neural network algorithm for signal modulation recognition, through Matlab simulation, the signal recognition accuracy is close to 87% and the stability is good under high SNR.