Extreme high-speed and high-capacity communications are one of the requirements for
technologies to be implemented in the new generations of wireless networks. Moreover …

Recently, automatic modulation classification techniques using convolutional neural
networks on raw IQ samples have been investigated and show promise when compared to …

Deep neural network (DNN) has recently received much attention due to its superior
performance in classifying data with complex structure. In this paper, we investigate …

In this letter, a multi-task deep convolutional neural network, namely MoDANet, is proposed
to perform modulation classification and DOA estimation simultaneously. In particular, the …

Chaos communications have widely been applied to provide secure, and anti-jamming
transmissions by exploiting the irregular chaotic behavior. However, the real-valued chaotic …

Recently, deep learning has received a lot of attention in many machine learning
applications for its superior classification performance in speech recognition, natural …

Automatic modulation recognition is a critical challenge in the field of cognitive radio. In the
process of communication, radio signals are modulated in various modes and are interfered …

Abstract IEEE802. 15.4 standard has quickly become a benchmark in the era of Internet of
things. The mandatory mode of 2.4 GHz physical layer of IEEE802. 15.4 standard employs …

Automated Modulation Classification (AMC) has been applied in various emerging areas
such as cognitive radio (CR). In our paper, we propose a deep learning-based AMC method …

Automatic Modulation Classification (AMC) is a critical issue in electromagnetic spatial
perception. Currently traditional recognition techniques are difficult to adapt to complex …