Depth Analysis in Deep Learning-Based Automatic Modulation Classification

Abstract

Automatic Modulation Classification (AMC) is the process of determining the modulation type of a signal received by a communication system. Deep learning, a machine learning technique, has recently garnered significant attention due to its outstanding ability to classify intricate data structures. This study delves into the critical role of automatic modulation classification processes in both civil and military applications, utilizing Convolutional Neural Networks (CNN) as a deep learning approach. In this study, unlike other studies, the effect of changing the depth level of the network on the accuracy level was investigated.

Keywords

• modulation
• classification
• convolutional neural networks