Deep learning based digital signal modulation recognition

Abstract

In this investigation, we proposed a promising digital signal modulation recognition scheme which is inspired by the deep learning. Firstly, the signal discriminations are constructed, which are composed of the full temporal characteristics of digital signals, its frequency spectrum as well as several higher-order spectral characteristics. Subsequently, the deep learning algorithm, with the powerful ability of interpretations and learning, is further suggested to realize modulation recognitions. A major advantage of this new scheme is that it may fully exploit the complete information of digital signals, rather than only utilizing several extracted features. It is verified by experimental simulations that the recognition accuracy of the proposed new scheme is much superior to other traditional recognition methods, which therefore provides an attractive approach to realistic modulation recognition.