Automatic modulation classification (AMC) can generally be divided into knowledge-based
methods and data-driven methods. In this paper, we explore combining the knowledge …

Deep-learning (DL) has emerged as a powerful machine-learning technique for several
problems encountered in generic wireless communications. Also, random Fourier Features …

A tactical wireless network is a military radio communication network supporting mission-
critical applications. Hence, a tactical wireless network demands more reliability, availability …

This book offers the latest advances and results in the fields of Machine Learning and Deep
Learning for Wireless Communication and provides positive and critical discussions on the …

With the rapid development of radio communication technology, the application requirement
for recognizing modulation mode of radio communication has also increased, therefore it …

This paper describes the architecture and performance of ORACLE, an approach for
detecting a unique radio from a large pool of bit-similar devices (same hardware, protocol …

摘要调制识别是通信系统的基础任务之一, 在认知无线电, 智能通信, 无线电监管,
电子对抗等领域均有着广泛的应用. 近年来, 基于深度学习的调制识别技术以其在特征提取和 …

In this demonstration, we perform a software defined radio (SDR) prototype of recognizing
wireless signals in real-time. Convolutional Neural Network (CNN), a deep learning …

Recently, deep learning (DL) has been successfully applied in physical-layer
communications and shown great success and competitive results to conventional systems …