In terms of the availability and accuracy of positioning, navigation, and timing (PNT), the
traditional Global Navigation Satellite System (GNSS) algorithms and models perform well …

Abstract Global Navigation Satellite System (GNSS) is pervasively used in position,
navigation, and timing (PNT) applications. As a consequence, important assets have …

This paper presents a sensor fusion-based Global Navigation Satellite System (GNSS)
spoofing attack detection framework for autonomous vehicles (AVs) that consists of two …

It is well-known that GPS is vulnerable to signal spoofing attacks. Although several spoofing
detection techniques exist, they are incapable of mitigation and recovery from stealthy …

Machine learning and, more precisely, data-driven models are providing solutions where
physics-based models are intractable. This article discusses the use of deep learning …

Signal quality monitoring (SQM) has been widely used as a simple and effective means to
detect spoofing attacks on Global Navigation Satellite Systems (GNSS). However, the …

The navigation of small unmanned aerial vehicles (UAVs), such as quadcopters,
significantly relies on the global positioning system (GPS); however, UAVs are vulnerable to …

The Global Navigation Satellite System (GNSS) plays a crucial role in critical infrastructure
by delivering precise timing and positional data. Nonetheless, the civilian segment of the …

A resilient positioning, navigation, and timing (PNT) system is a necessity for the robust
navigation of autonomous vehicles (AVs). A global navigation satellite system (GNSS) …

Signal acquisition is a crucial step in Global Navigation Satellite System (GNSS) receivers,
which is typically solved by maximizing the so-called Cross-Ambiguity Function (CAF) as a …