Deep Learning Techniques for Automatic Modulation Classification: A Systematic Literature Review

摘要

Implementation of Automatic modulation classification originated in the military field several years ago. Threat analysis, surveillance, and welfare where of great concern, thus this urged the importance to study the application of automatic modulation classification for signal recognition. In this research survey a Systematic Literature Review is conducted to study the implementation of deep learning algorithms in modulation classification. Our survey conducts a study from four perspectives including: deep learning techniques/models, performance metrics used, deep learning models adopted, and types of modulation classification classified.