Wireless networking using GHz or THz spectra has encouraged mobile service providers to
deploy small cells to improve link quality and cell capacity using mmWave backhaul links. As …

The detection of deceptive jamming in low probability of intercept/low probability of detection
(LPI/LPD) tactical communications has been receiving increasing attention, especially in the …

This paper proposes a lightweight neural network for automatic modulation recognition,
entitled combined, comprising a lightweight backbone network and an optional network. The …

Automatic modulation classification (AMC) is of crucial importance for realizing wireless
intelligence communications. Many deep learning based models especially convolution …

Automatic modulation recognition (AMR) for radar signals plays a significant role in
electronic warfare. Conventional recognition methods may suffer from the recognition …

Intra-pulse modulation classification of radar emitter signals is beneficial in analyzing radar
systems. Recently, convolutional neural networks (CNNs) have been used in classification …

Automatic modulation classification (AMC) is a promising technology to identify the
modulation mode of the received signal in drone communication systems. Recently …

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 …

Automatic modulation classification (AMC) aims at identifying the modulation of the received
signals, which is a significant approach to identifying the target in military and civil …

As smart cities are being developed, innovations to the waste management are one of the
focus areas of research. Various efforts are done to make the process seamless on the side …