Abstract: In a non-cooperative communication environment, automatic modulation classification (AMC) is an essential technology for analyzing signals and classifying different kinds of signal ...

Official implement of the paper, 'A Spatiotemporal Multi-Channel Learning Framework for Automatic Modulation Recognition'. This repository contains MCLDNN implementation and datasets in the paper. The ...

Abstract: Automatic modulation classification (AMC), which aims to blindly identify the modulation type of an incoming signal at the receiver in wireless communication systems, is a fundamental signal ...

Mod-CL is a self-supervised contrastive learning framework for automatic modulation classification (AMC). The key idea is to exploit intra-instance modulation consistency: different temporal segments ...

Wireless communication technologies are undergoing intensive study and are experiencing accelerated progress which leads to a large increase in the number of end-users. Because of this, the radio ...

Wireless Internet of Things (IoT) is widely accepted in data collection and transmission of power system, with the prerequisite that the base station of wireless IoT be compatible with a variety of ...

This paper mainly studies the data characteristics of high order cumulants using digitally modulated signals, and constructs the identification feature parameters that can distinguish the signal ...