The Internet of Things (IoT) is becoming an indispensable part of everyday life, enabling a
variety of emerging services and applications. However, the presence of rogue IoT devices …

Radio frequency fingerprinting (RFF) methods are becoming more and more popular in the
context of identifying genuine transmitters and distinguishing them from malicious or non …

Although the Global Navigation Satellite System (GNSS) technology provides an excellent
benefit in different critical areas such as civilian, aviation, military, and commercial …

In recent years, Deep Learning (DL) has been successfully applied to detect and classify
Radio Frequency (RF) Signals. A DL approach is especially useful since it identifies the …

The global navigation satellite system (GNSS) is susceptible to spoofing, limiting its uses for
national security. As a solution to this problem, this article modeled the GNSS spoofing …

In this work, we propose to consolidate radio frequency communication signals and speech
audio into a common data modality: multichannel, time-continuous amplitudes with …

This paper reviews the motivation behind and development of a deployable Radio
Frequency Interference (RFI) detection, alerting and reporting system which simultaneously …

This article describes the real-world challenges that are encountered when trying to
automatically categorize and classify the radio frequency interference (RFI) events captured …

Wearables are wireless devices that we “wear” on our bodies. The proliferation of devices
embedded in clothes, medical smart wear, skin patches, smartwatches, and bracelets …

There is a vital need to detect and classify different radio-controlled Unmanned Aerial
Vehicles (UAVs), and that need will only grow as they gain wider use. Using Radio …